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1

Zhou, Zhengyun, and Fred J. Hilterman. "A comparison between methods that discriminate fluid content in unconsolidated sandstone reservoirs." GEOPHYSICS 75, no. 1 (2010): B47—B58. http://dx.doi.org/10.1190/1.3253153.

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Three seismic attributes commonly used to predict pore fluid and lithology are the fluid factor [Formula: see text], Poisson impedance (PI), and lambda-rho [Formula: see text]. We evaluated the pore-fluid sensitivity of these attributes with both well-log and seismic data in Tertiary unconsolidated sediments from the Gulf of Mexico where sand and shale are the only expected lithologies. While the sensitivity of one attribute versus another to discriminate pore fluid is often debated in the literature, the sensitivities of the three attributes are not independent but can be traced back to the f
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2

Ren, Haitao, Gennady Goloshubin, and Fred J. Hilterman. "Poroelastic analysis of permeability effects in thinly layered porous media." GEOPHYSICS 74, no. 6 (2009): N49—N54. http://dx.doi.org/10.1190/1.3223185.

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The mechanism of wave-induced fluid flow, which causes significant attenuation and dispersion of seismic waves in heterogeneous porous media, opens a potential opportunity to estimate fluid-mobility properties from seismic data. However, the permeability effects on seismic data vary for different reservoir environments, so rules of thumb are difficult to establish. Two types of reservoir models were selected. One represents shallow, unconsolidated, low-impedance reservoirs. The other represents deep, consolidated, high-impedance reservoirs. Using analytic equations and wave-propagation numeric
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3

Candra Teja Kusuma, Md. Shofiqul Islam, Sadiq Jalal, Thais de Souza Kazmierczak, and Luis Antonio Castillo-López. "Reservoir Characterization Using Post Stack Seismic Inversion on The Upper Sihapas Formation, Malacca Strait, Central Sumatra Basin." Frontier Advances in Applied Science and Engineering 2, no. 2 (2024): 109–19. https://doi.org/10.59535/faase.v2i2.342.

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Post-stack seismic inversion is often conducted to quantitatively determine the characteristics of reservoirs using post-stack seismic data, with the output being acoustic impedance. Rock characteristics such as porosity, lithology, and fluids can be represented by impedance values, making the distribution of impedance the focus of this study in determining potential areas of interest. The research area is located in the Malacca Strait Block, Central Sumatra Basin, with the reservoir in the Upper Sihapas Formation. This study uses post-stack seismic inversion with acoustic impedance values ​​a
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4

Martins, Luiz M. R., and Thomas L. Davis. "From ocean-bottom cable seismic to porosity volume: A prestack PP and PS analysis of a turbidite reservoir, deepwater Campos Basin, Brazil." Interpretation 2, no. 2 (2014): SE91—SE103. http://dx.doi.org/10.1190/int-2013-0150.1.

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The Campos Basin is the best known and most productive of the Brazilian coastal basins. Turbidites are, by far, the main hydrocarbon-bearing reservoirs in the Campos Basin. Using a 4C ocean-bottom cable seismic survey, we set out to improve the reservoir characterization in a deepwater turbidite field in the Campos Basin. To achieve our goal, prestack angle gathers were derived and PP and PS inversion were performed. The inversion was used as an input to predict the petrophysical properties of the reservoir. Converting seismic reflection amplitudes into impedance profiles not only maximizes ve
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5

Zhang, Lei, Donghui Zhu, and Xuejuan Zhang. "Seismic Attributes Method for Prediction of Unconsolidated Sand Reservoirs of Heavy Oil." Open Fuels & Energy Science Journal 8, no. 1 (2015): 14–18. http://dx.doi.org/10.2174/1876973x01508010014.

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Heavy crude oil is known as oil that is highly viscous and of a higher density than that of conventional oil. Sand reservoirs containing heavy oil generally consist of unconsolidated sediments deposited at a shallow burial depth, with high porosity and permeability. In seismic exploration, acoustic impedance inversion is a commonly used tool in reservoir prediction. However, due to the unconsolidated characteristic of heavy oil reservoirs, the wave impedance difference between heavy oil sandstones and mudstones becomes less apparent, thus limiting the ability of impedance inversion to accurate
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6

Zhang, Feng, and Xiang-Yang Li. "Exact elastic impedance matrices for transversely isotropic medium." GEOPHYSICS 81, no. 2 (2016): C1—C15. http://dx.doi.org/10.1190/geo2015-0163.1.

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Conventional elastic impedances are derived as scalars by means of the integration of reflectivity. In this sense, they are attributes of the seismic reflection but not the intrinsic physical property of the subsurface media. The derivation of these expressions shares the same assumptions as the reflectivity approximations, such as weak impedance contrast, small angle of incidence, or weak anisotropic media, and thus it limits the accuracy and interpretation capability. The exact P/SV impedance matrices relating the stress and strain represent the mechanical property of the subsurface media an
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7

Ayman, M. Alghiffari, Sudarmaji Sudarmaji, and Muhammad Destrayuda Trisna. "Petrophysical Analysis and Seismic Attribute for Reservoir Characterization in “AMN” Field, Talang Akar Formation, South Sumatra Basin." Jurnal Penelitian Fisika dan Aplikasinya (JPFA) 14, no. 1 (2024): 1–18. https://doi.org/10.26740/jpfa.v14n1.p1-18.

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The AMN field is located in the South Sumatra Basin, where the Talang Akar Formation is proven to be one of the main hydrocarbon reservoirs in the South Sumatra Basin, with the dominant lithology comprising interbedded sandstone and shale. This study aims to determine the depth and distribution of the reservoirs in the Talang Akar Formation using petrophysical analysis and seismic interpretation. Petrophysical analysis was performed using deterministic methods to obtain reservoir depth information vertically. The seismic interpretation was carried out using model-based acoustic impedance inver
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8

Aryanto, Muhamad Defi, Darsono Darsono, Julikah Julikah, and Humbang Purba. "RESERVOIR CHARACTERIZATION USING SIMULTANEOUS INVERSION TO DELINEATE HYDROCARBON RESERVOIR." Scientific Contributions Oil and Gas 37, no. 3 (2022): 185–94. http://dx.doi.org/10.29017/scog.37.3.639.

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Reservoir characterization analysis has been carried out for identifying lithology and Àuid content on TalangAkarFormation in South Sumatra Basin. Robust method that being used in this study is the simultaneous inversion which uses pre-stack gather and well log data from Puja A and Puja B. Elastic parameters resulted from simultaneous inversion are P Impedance, S Impedance and V / V ratio. Lambda-Rho parameter (lr) and Mu-Rho (mr) derived from P impedance (I ) and S impedance (I ). Lambda-Rho is sensitive to Àuid content while Mu-Rho to lithology. Area of interest in this study is Talang Akar
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9

N.O, Ekone, and Dagogo, T. "Well Based Elastic Attribute Analysis for Reservoir Characterization in Ek-field Niger Delta." Journal of Geography, Environment and Earth Science International 28, no. 7 (2024): 60–74. http://dx.doi.org/10.9734/jgeesi/2024/v28i7790.

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Derived elastic attributes has been used to discriminate rock and fluid properties in EK Field using well logs data. These derived rock attributes were analyzed in cross-plot space for target reservoirs. The log analysis for delineated reservoir B20 shows an average volume of shale (7.5%), total porosity (33.9%) and water saturation (29.3%). Cross-plots of elastic rock attributes (Vp/Vs, Lambda-Rho (λρ), Mu-Rho (μρ), Poisson ratio and acoustic impedance) were used as fluid and lithology indicators and in reservoir characterization. The cross plots results shows distinct separation of hydrocarb
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10

Okeugo, C. G., K. M. Onuoha, and A. C. Ekwe. "Lithology and fluid discrimination using rock physics-based modified upper Hashin–Shtrikman bound: an example from onshore Niger Delta Basin." Journal of Petroleum Exploration and Production Technology 11, no. 2 (2021): 569–78. http://dx.doi.org/10.1007/s13202-020-01073-2.

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AbstractThe Ozifa reservoir is proven reservoir that cuts across the Northern and Greater Ughelli depo-belts of the Niger Delta Basin. This reservoir possesses heterogenous character southward of the field, making elastic properties, lithologies and fluid types difficult to describe accurately. In this study, rock physics template was applied to porosity and acoustic impedance (AI) crossplot clusters to illustrate rock–fluid relationships using modified Hashin–Shtrikman upper bound, Voigt upper bound and Reuss lower bound, as an input in the template. Values of acoustic impedance and porosity
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11

Khazieva, M. A., A. B. Trapeznikova, and M. A. Yarmoshkaeva. "Analysis of Elastic Characteristics of Carbonate Reservoirs." Вестник Пермского университета. Геология 22, no. 3 (2023): 227–37. http://dx.doi.org/10.17072/psu.geol.22.3.227.

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The purpose of this study is to analyze the elastic characteristics of the carbonate reservoirs of the Bashkirian and Moscovian Stages of the middle section of the Carboniferous system of the oil field. As part of the study, acoustic and density curves were restored for the intervals where logging was not performed. The petrophysical interpretation of the data, the identification of reservoirs, and the assessment of reservoir properties were carried out. The elastic properties analysis of the rocks has been conducted, and the possibility of identifying reservoirs using elastic parameters has b
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12

Yuan, Hemin, De-Hua Han, and Weimin Zhang. "Seismic characterization of heavy oil reservoir during thermal production: A case study." GEOPHYSICS 82, no. 1 (2017): B13—B27. http://dx.doi.org/10.1190/geo2016-0155.1.

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Heavy oil reservoirs are important alternative energy resources to conventional oil and gas reservoirs. However, due to the high viscosity, most production methods of heavy oil reservoirs involve thermal production. Heavy oil reservoirs’ properties change dramatically during thermal production because the viscosity drops drastically with increasing temperature. Moreover, the velocity and density also decrease after steam injection, leading to a longer traveltime of seismic velocities and low impedance of the steam chamber zone. These changes of properties can act as indicators of the steam cha
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13

Winardhi, Sonny, A. Meickloni Wahyuzi, Ekkal Dinanto, A. Budhi Ritonga, W. Satriawan, and Budiyono. "Seismic-based Reservoir Characterization of Thin Shaly-Sandstones Reservoirs using Stochastic Inversion and Elastic Attributes Rotation, Study Case: Lower Terumbu Formation, East Natuna Basin, Indonesia." IOP Conference Series: Earth and Environmental Science 1458, no. 1 (2025): 012007. https://doi.org/10.1088/1755-1315/1458/1/012007.

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Abstract The main reservoir of the Lower Terumbu formation in the East Natuna Basin, Indonesia is shallow marine bioturbated shaly sandstones. A well-based analysis shows that the ratio between P- and S-wave velocities (Vp/Vs ratio) and P-impedance are sensitive to lithology, porosity, and fluid saturation. Therefore, a seismic-based reservoir characterization method is carried out through a two-term Amplitude Versus Offset (AVO) analysis of Ursenbach-Stewart and Extended Elastic Impedance (EEI) inversion approaches. However, since the reservoir thickness is mostly below the tunning thickness,
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14

Zhang, Tingting, Yuefeng Sun, Qifeng Dou, Hanrong Zhang, Tonglou Guo, and Xiyuan Cai. "Improving Porosity–Velocity Relationships Using Carbonate Pore Types." Journal of Computational Acoustics 23, no. 04 (2015): 1540006. http://dx.doi.org/10.1142/s0218396x15400068.

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Acoustic impedance in carbonates is influenced by factors such as porosity, pore structure/fracture, fluid content, and lithology. Occurrence of moldic and vuggy pores, fractures and other pore structures due to diagenesis in carbonate rocks can greatly complicate the relationships between impedance and porosity. Using a frame flexibility factor ([Formula: see text]) derived from a poroelastic model to characterize pore structure in reservoir rocks, we find that its product with porosity can result in a much better correlation with sonic velocity ([Formula: see text] = [Formula: see text]) and
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15

Oborie, Ebiegberi, Omonefe Francis, and Desmond Eteh. "Amplitude Variation with Offset (AVO) Inversion for Reservoir Visualization: A Case Study of Taje Field, Niger Delta, Nigeria." Advances in Geological and Geotechnical Engineering Research 6, no. 1 (2024): 21–32. http://dx.doi.org/10.30564/agger.v6i1.6158.

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Amplitude Variation with Offset (AVO) inversion analysis was performed on pre-stack seismic data and well information gathered from the shallow offshore area of the Niger Delta. This analysis aimed to improve reservoir visualization and employed the Hampson Russell Geoview, AVO, and STRATA software tools. The seismic data were provided in Seg-Y format, covering an in-line range from 4503 to 5569, an x line range from 1434 to 2026, and an angle of incidence range of 0 to 45°. The study centered on the Taje well_026. Within the subsurface, the authors identified five distinct reservoirs, labeled
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16

Tiekuro, Ede, Godwin Omokenu Emujakporue, and Cyril N. Nwankwo. "Application of Post Stack Acoustic Impedance Inversion to Lateral Rock Property Prediction: A Case Study Eti-field Offshore Niger Delta." British Journal of Earth Sciences Research 12, no. 1 (2024): 42–60. http://dx.doi.org/10.37745/bjesr.13/vol12n14260.

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This study presents the result of a Model-based seismic inversion technique which was used to invert an acoustic impedance structure within a reservoir interval by intergrating well logs and 3D post stack seismic data obtained from Eti-field offshore Niger Delta. The purpose was to delineate lateral and vertical alternations in subsurface rock properties which is caused by difference in lithofacies within the reservoir interval. This would help to define hydrocarbon fairways better and constrain the range of hydrocarbon zones for field development. The inversion workflow used in this study inc
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17

Zhang, Tianze, Yani Lin, Kelly H. Liu, and Stephen S. Gao. "Prestack simultaneous inversion for delineation of the Lower Wilcox erosional remnant sandstone beneath the Texas Gulf Coastal Plain: A case study." Interpretation 8, no. 4 (2020): T991—T1005. http://dx.doi.org/10.1190/int-2019-0178.1.

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The Lower Wilcox lowstand sand deposits encased between two sequence boundaries along the Texas Gulf Coastal Plain are of good reservoir quality and usually gas productive. However, the sedimentation is sparsely scattered within such a depositional environment and it is hard to predict by qualitative interpretation methods. Simultaneous inversion of elastic parameters such as P-impedance, S-impedance, and density by the integration of prestack data and well logs allows us to quantitatively characterize the reservoirs and to distinguish them from the surrounding rocks. We have used prestack sim
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18

Mughal, Muhammad Rizwan, and Gulraiz Akhter. "Predicting the gas resource potential in reservoir C-sand interval of Lower Goru Formation, Middle Indus Basin, Pakistan." Open Geosciences 13, no. 1 (2021): 49–71. http://dx.doi.org/10.1515/geo-2020-0170.

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Abstract The integrated study of seismic attributes and inversion analysis can provide a better understanding for predicting the hydrocarbon-bearing zones even in extreme heterogeneous reservoirs. This study aims to delineate and characterize the gas saturated zone within the reservoir (Cretaceous C-sand) interval of Sawan gas field, Middle Indus Basin, Pakistan. The hydrocarbon bearing zone is well identified through the seismic attribute analysis along a sand channel. The sparse-spike inversion analysis has efficiently captured the variations in reservoir parameter (P-impedance) for gas pros
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19

Zeng, Yuchao, Liansheng Tang, Nengyou Wu, Jing Song, and Zhanlun Zhao. "Numerical Investigation of Influence of Reservoir Heterogeneity on Electricity Generation Performance of Enhanced Geothermal System." Processes 7, no. 4 (2019): 202. http://dx.doi.org/10.3390/pr7040202.

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The enhanced geothermal system (EGS) reservoir consists of a heterogeneous fracture network and rock matrix, and the heterogeneity of the reservoir has a significant influence on the system’s electricity generation performance. In this study, we numerically investigated the influence of reservoir heterogeneity on system production performance based on geological data from the Gonghe Basin geothermal field, and analyzed the main factors affecting production performance. The results show that with the increase of reservoir heterogeneity, the water conduction ability of the reservoir gradually re
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20

Dong, Hong Kui, Hong Wen Deng, and Gao Chen. "Application of Log-Constrained Stochastic Seismic Invention in Lithologlic Reservior Prediction." Advanced Materials Research 868 (December 2013): 529–34. http://dx.doi.org/10.4028/www.scientific.net/amr.868.529.

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Seismic invention is a key technique of concealed reservoir exploration. Stochastic seismic invention with multi-well bound combined with cross-borehole seismic data by striking probability density function of logging data to achieve reservior forecasting. They had the advantage of the higher vertical resolution, and were not fully controlled by the distribution of wells. The results of stochastic seismic invention could be impedance, or other reservoir parameters, and they reflected the physical properties of rock more directly. Analysis indicated that it could acquire high precision reservoi
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E. K, Anakwuba,, Yakubu, H. M, Chinwuko, A. I., Onyekwelu, C. U., Odiegwu, C.J., and Igwebudu, C.N. "Prediction of Inter-Well Petrophysical Properties from Seismic Model: A Case of Egbem Field, Niger Delta, Nigeria." International Journal of Research and Innovation in Applied Science VIII, no. VIII (2024): 673–91. http://dx.doi.org/10.51584/ijrias.2024.908061.

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We have generated a seismic model for the prediction of inter-well petrophysical properties of Egbem Field; in the Niger Delta, Nigeria. Acoustic Impedances (AI) were calculated from sonic and density logs in the available 24 wells. Reflection Coefficients (RC) determined from the acoustic impedances were convolved with modelled wavelet to produce synthetic seismograms at various well locations. A top structure map of a reservoir from the field was used to define the position of faults, which served as key pillars in gridding the reservoirs of the field into geocellular blocks of 50 x 50 meter
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22

Abushalah, Yousf, and Laura Serpa. "Using instantaneous frequency and colored inversion attributes to distinguish and determine the sandstones facies of the Late Ordovician Mamuniyat reservoir, R-field in Murzuq Basin, Libya." Interpretation 4, no. 4 (2016): T507—T519. http://dx.doi.org/10.1190/int-2015-0167.1.

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The Mamuniyat petroleum reservoir in southwestern Libya is comprised of clean sandstones and intercalated shale and sand facies that are characterized by spatial porosity variations. Seismic reflection data from the field exhibit relatively low vertical seismic resolution, side lobes of reflection wavelets, reflection interference, and low acoustic impedance contrast between the reservoir and the units underneath the reservoir, which make mapping those facies a difficult task. In the absence of broadband seismic data, optimizing frequency bands of bandlimited data can be used to suppress pseud
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23

Finecountry, S. C. P., and S. Inichinbia. "Lithology and Fluid discrimination of Sody field of the Nigerian Delta." Journal of Applied Sciences and Environmental Management 24, no. 8 (2020): 1321–27. http://dx.doi.org/10.4314/jasem.v24i8.3.

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The lithology and fluid discrimination of an onshore Sody field, of the Niger Delta was studied using gamma ray, resistivity and density logs from three wells in the field in order to evaluate the field’s reservoir properties. Two reservoir sands (RES 1 and RES 2) were delineated and identified as hydrocarbon bearing reservoirs. The petrophysical parameters calculated include total porosity, water saturation and volume of shale. The results obtained revealed that the average porosity of the reservoir sands, range from 21% to 39%, which is excellent indicator of a good quality reservoir and pro
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24

Zhou, Hai-ting, De-yong Li, Xian-tai Liu, Yu-shan Du, and Wei Gong. "Sweet spot prediction in tight sandstone reservoir based on well-bore rock physical simulation." Petroleum Science 16, no. 6 (2019): 1285–300. http://dx.doi.org/10.1007/s12182-019-00393-1.

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Abstract To establish the relationship among reservoir characteristics and rock physical parameters, we construct the well-bore rock physical models firstly, considering the influence factors, such as mineral composition, shale content, porosity, fluid type and saturation. Then with analyzing the change rules of elastic parameters along with the above influence factors and the cross-plots among elastic parameters, the sensitive elastic parameters of tight sandstone reservoir are determined, and the rock physics template of sweet spot is constructed to guide pre-stack seismic inversion. The res
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25

Castagna, John, Arnold Oyem, Oleg Portniaguine, and Understanding Aikulola. "Phase decomposition." Interpretation 4, no. 3 (2016): SN1—SN10. http://dx.doi.org/10.1190/int-2015-0150.1.

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Any seismic trace can be decomposed into a 2D function of amplitude versus time and phase. We call this process phase decomposition, and the amplitude variation with time for a specific seismic phase is referred to as a phase component. For seismically thin layers, phase components are particularly useful in simplifying seismic interpretation. Subtle lateral impedance variations occurring within thin layers can be greatly amplified in their seismic expression when specific phase components are isolated. For example, the phase component corresponding to the phase of the seismic wavelet could in
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26

Ashraf, Umar, Hucai Zhang, Aqsa Anees, et al. "Controls on Reservoir Heterogeneity of a Shallow-Marine Reservoir in Sawan Gas Field, SE Pakistan: Implications for Reservoir Quality Prediction Using Acoustic Impedance Inversion." Water 12, no. 11 (2020): 2972. http://dx.doi.org/10.3390/w12112972.

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The precise characterization of reservoir parameters is vital for future development and prospect evaluation of oil and gas fields. C-sand and B-sand intervals of the Lower Goru Formation (LGF) within the Lower Indus Basin (LIB) are proven reservoirs. Conventional seismic amplitude interpretation fails to delineate the heterogeneity of the sand-shale facies distribution due to limited seismic resolution in the Sawan gas field (SGF). The high heterogeneity and low resolution make it challenging to characterize the reservoir thickness, reservoir porosity, and the factors controlling the heteroge
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Sidiq, Aditya P., Henry M. Manik, and Tumpal B. Nainggolan. "STUDI KOMPARASI METODE MIGRASI SEISMIK DALAM MENGKARAKTERISASI RESERVOIR MIGAS DI BLOK KANGEAN, LAUT BALI MENGGUNAKAN INVERSI IMPEDANSI AKUSTIK BERBASIS MODEL." Jurnal Ilmu dan Teknologi Kelautan Tropis 11, no. 1 (2019): 205–19. http://dx.doi.org/10.29244/jitkt.v11i1.23028.

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ABSTRAK Karakterisasi reservoir menjadi penting dalam tahapan eksplorasi minyak dan gas bumi. Salah satu hal yang dibutuhkan untuk mencapai keakuratan dalam mengkarakterisasi reservoir adalah penampang seismik yang sesuai dengan penampang aslinya. Struktur lapisan bumi yang kompleks mengakibatkan gelombang terdifraksi, sehingga penampang seismik mengalami pembelokan dari posisi sebenarnya. Penelitian ini menerapkan metode migrasi seismik Kirchhoff dan Stolt (F-K) untuk mengembalikan posisi reflektor pada waktu dan kedalaman yang sebenarnya pada data seismik 2D di Perairan Utara Bali. Data seis
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Kiani, Innocent, and Aniefiok Sylvester Akpan. "DELINEATION OF HYDROCARBON SATURATED RESERVOIR SAND USING INTEGRATED 3D PRE-STACK SEISMIC AND WELL LOG DATA IN BONGA – FIELD, CENTRAL SWAMP DEPOBELT, ONSHORE NIGER DELTA, NIGERIA." MALAYSIAN JOURNAL OF GEOSCIENCES 5, no. 2 (2020): 64–68. http://dx.doi.org/10.26480/mjg.02.2021.64.68.

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This study has successfully delineated the lateral continuity of hydrocarbon saturated sand reservoir in Bonga field, Niger Delta. 3D pre-stack seismic volume and well logs from two (2) exploratory wells were employed in the pre-stack seismic inversion analysis. The delineated BGA reservoir sand spans across the two (2) wells labelled Bonga-26 and Bonga-30. The reservoir depth ranges from 10490 ft to 10620 ft in Bonga-26 while the reservoir depth ranges from 10390 ft to 10490 ft in Bonga-30. The delineated reservoir is characterized by low gamma ray (< 75 API), water saturation, shale volum
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29

Zeng, Yuchao, Fangdi Sun, and Haizhen Zhai. "Numerical Study on the Influence of Well Layout on Electricity Generation Performance of Enhanced Geothermal Systems." Processes 9, no. 8 (2021): 1474. http://dx.doi.org/10.3390/pr9081474.

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The energy efficiency of the enhanced geothermal system (EGS) measures the economic value of the heat production and electricity generation, and it is a key indicator of system production performance. Presently there is no systematic study on the influence of well layout on the system energy efficiency. In this work we numerically analyzed the main factors affecting the energy efficiency of EGS using the TOUGH2-EOS1 codes at Gonghe Basin geothermal field, Qinghai province. The results show that for the reservoirs of the same size, the electric power of the three horizontal well system is highe
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He, Faqi, Ying Rao, Weihong Wang, and Yanghua Wang. "Prediction of hydrocarbon reservoirs within coal-bearing formations." Journal of Geophysics and Engineering 17, no. 3 (2020): 484–92. http://dx.doi.org/10.1093/jge/gxaa007.

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Abstract This paper presents a case study on the prediction of hydrocarbon reservoirs within coal-bearing formations of the Upper Palaeozoic. The target reservoirs are low-permeability low-pressure tight-sandstone reservoirs in the Daniudi Gas Field, Ordos Basin, China. The prime difficulty in reservoir prediction is caused by the interbedding coal seams within the formations, which generate low-frequency strong-amplitude reflections in seismic profiles. To tackle this difficulty, first, we undertook a careful analysis regarding the stratigraphy and lithology of these coal-bearing formations w
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31

Habib, Mukhtar, Bashir Aliyu Abba, Aminu Uba Alhassan, and Jibia Firdausi Umar. "VALIDATION OF EXTENDED ELASTIC IMPEDANCE BASED ON MINIMUM ENERGY ANGLE. A CASE STUDY APPLICATION FOR OPTIMIZED PETROLEUM RESERVOIR CHARACTERIZATION." FUDMA JOURNAL OF SCIENCES 7, no. 1 (2023): 291–308. http://dx.doi.org/10.33003/fjs-2023-0701-1310.

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This work intends to showcase a validation of the applicability of Extended Elastic Impedance (EEI) inversion method in reservoir characterization and modeling. In order to achieve that, deterministic seismic inversion and extended elastic impedance (EEI) analysis were applied to obtain quantitative estimates of reservoir properties over the Pu field of the West African Congo basin. Optimum EEI angles corresponding to the reservoir properties were then analyzed using well logs data, together with a lithology indicator. Pre-stack seismic data were simultaneously inverted into density, acoustic
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Gao, Bole, Fei Tian, Renfang Pan, et al. "Hydrothermal Dolomite Paleokarst Reservoir Development in Wolonghe Gasfield, Sichuan Basin, Revealed by Seismic Characterization." Water 12, no. 2 (2020): 579. http://dx.doi.org/10.3390/w12020579.

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Hydrothermal dolomite paleokarst reservoir is a type of porous carbonate reservoir, which has a secondary porosity and can store a large amount of oil and gas underground. The reservoir is formed by magnesium-rich hydrothermal fluids during the karstification and later stages of the transformation. Due to the strong heterogeneity and thin thickness of hydrothermal dolomite paleokarst reservoirs, it is a real challenge to characterize the spatial distribution of the reservoirs. In this paper, we studied the hydrothermal dolomite paleokarst reservoir in the Wolonghe gasfield of the eastern Sichu
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Gouda, Mohammed Fathy, Abdul Halim Abdul Latiff, and Seyed Yasser Moussavi Alashloo. "Estimation of Litho-Fluid Facies Distribution from Zero-Offset Acoustic and Shear Impedances." Applied Sciences 12, no. 15 (2022): 7754. http://dx.doi.org/10.3390/app12157754.

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Seismic data are considered crucial sources of data that help identify the litho-fluid facies distributions in reservoir rocks. However, different facies mostly have similar responses to seismic attributes. In addition, seismic anisotropy negatively affects the facies predictors extracted from seismic data. Accordingly, this study aims at estimating zero-offset acoustic and shear impedances based on partial-stack inversion by two methods: statistical modeling and a multilayer feed-forward neural network (MLFN). The resulting impedance volumes are compared to those obtained from isotropic simul
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Yitong, Wang, Li Jingsheng, Sam Zandong Sun, et al. "Study of seismic attributes recognition method of high quality igneous rock reservoir." E3S Web of Conferences 329 (2021): 01058. http://dx.doi.org/10.1051/e3sconf/202132901058.

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Aimed target area is deeply buried, complex lithology, dual media, reservoir development degree is controlled by a variety of factors, meanwhile, lateral thickness and lithofacies change rapidly, and strata formation is poor. Therefore, igneous rock reservoir has difficulty in predicting, since seismic is complicated to track trace, reservoir attribute analysis is hard to determine the time window, and inversion modeling requires sophisticated. By analyzing, the basalt in the target research area accounts for the principal component of the igneous rock, however, the igneous rocks with relative
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Rosid, Mohammad Syamsu, Bagus Dwi Prasetyo, Junita Trivianty, and Humbang Purba. "Characterization of hydrocarbon reservoir at field “B”, South Sumatera by using poisson impedance inversion." Malaysian Journal of Fundamental and Applied Sciences 15, no. 3 (2019): 472–77. http://dx.doi.org/10.11113/mjfas.v15n3.1093.

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The separation process of lithology and fluid reservoir is an important part in the characterization of reservoir. It will explain the physical properties of reservoir rock lithology and fluid content by integrating the geophysics and petrophysical data. This process is difficult to do in the field "B" by using parameters of acoustic impedance and lambda mu rho (LMR), because it still has a fairly high degree of ambiguity. Poisson impedance (PI) has been implemented as a solution to address the problem. In cross-plot between Acoustic Impedance (AI) and Shear Impedance (SI), a rotation of both
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Cho, Yongchae, Richard L. Gibson Jr., and Dehan Zhu. "Quasi 3D transdimensional Markov-chain Monte Carlo for seismic impedance inversion and uncertainty analysis." Interpretation 6, no. 3 (2018): T613—T624. http://dx.doi.org/10.1190/int-2017-0136.1.

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Accurate estimation of subsurface properties plays an important role in successful hydrocarbon exploration, and a variety of different types of inversion schemes are used to infer earth properties such as velocity or density by analyzing the surface seismic. The Markov-chain Monte Carlo (MCMC) stochastic approach is widely used to estimate subsurface properties. We have used a transdimensional form of MCMC, reversible jump MCMC (RJMCMC), to estimate seismic impedance, which allows the inference of the number of interfaces as well as the interface location and layer impedances. Estimating the u
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Sharifi, Javad, Naser Hafezi Moghaddas, Gholam Reza Lashkaripour, Abdolrahim Javaherian, and Marzieh Mirzakhanian. "Application of extended elastic impedance in seismic geomechanics." GEOPHYSICS 84, no. 3 (2019): R429—R446. http://dx.doi.org/10.1190/geo2018-0242.1.

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We have evaluated an innovative application of extended elastic impedance (EEI) to integrate seismic and geomechanics for geomechanical interpretation of hydrocarbon reservoirs. EEI analysis is used to extract geomechanical parameters. To verify and assess the capabilities of EEI analysis for extracting geomechanical parameters, we selected a jointed, oil-bearing, shale carbonate reservoir in the southwest of Iran, and we used petrophysical data and core analysis to estimate static and dynamic moduli of the reservoir rock. We calculated the corresponding EEI curve to different intercept-gradie
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Arévalo-López, Humberto S., and Jack P. Dvorkin. "Simultaneous impedance inversion and interpretation for an offshore turbiditic reservoir." Interpretation 5, no. 3 (2017): SL9—SL23. http://dx.doi.org/10.1190/int-2016-0192.1.

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By using simultaneous impedance inversion, we obtained P- and S-wave impedance ([Formula: see text] and [Formula: see text]) volumes from angle stacks at a siliciclastic turbidite oil reservoir offshore northwest Australia. The ultimate goal was to interpret these elastic variables for fluid, porosity, and mineralogy. This is why an essential part of our workflow was finding the appropriate rock-physics model based on well data. The model-corrected S-wave velocity [Formula: see text] in the wells was used as an input to impedance inversion. The inversion parameters were optimized in small vert
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Ajisafe, Y. C., O. E. Folorunso, O. V. Omoyemi, D. E. Ogunrinde, and V. O. Towoju. "Integration of Rock Physics and Seismic Attributes for Reservoir Quality Assessment of ‘Solid’ Field, Offshore Niger Delta." International Journal of Latest Technology in Engineering, Management & Applied Science XII, no. IX (2023): 100–117. http://dx.doi.org/10.51583/ijltemas.2023.12910.

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The decline in the chance of finding commercial quantity of hydrocarbon necessitated the integration of more geophysical tools in order to properly assess the reservoir quality. This study integrated rock physics and seismic attribute to assess the reservoir quality in ‘Solid’ field, offshore Niger Delta. The objectives of this study are to use rock physics analysis to quality check the seismic attribute results and to locate the best productive zones in the field. 3D seismic data and well log data for six wells were used for Formation evaluation, Petrophysical analysis, Structural analysis, S
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Komara, Eki, Desak Putu M.E.P, M. Haris Miftakhul F, and Satriana Satriana. "APPLICATION OF ACOUSTIC IMPEDANCE INVERSION TO PREDICT THE “Y” FIELD RESERVOIR DISTRIBUTION." Jurnal Geosaintek 10, no. 2 (2024): 93–105. http://dx.doi.org/10.12962/j25023659.v10i2.1842.

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Identification of accurate reservoir distribution is necessary to identify prospective and productive zones. One way to identify the distribution of reservoirs in the "Y" field is the inversion method. The inversion method used in this study is acoustic impedance inversion which can be relied upon to characterize the reservoir. This research was conducted to know the best acoustic impedance inversion method and identify the distribution of reservoirs in Field "Y". On research, there are 5 well data and PSTM 3D seismic data. The analytical method used compares the results of cross-section seism
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Fu, Dongjun (Taller), E. Charlotte Sullivan, and Kurt J. Marfurt. "Rock property- and seismic-attribute analysis of a chert reservoir in the Devonian Thirty-one Formation, west Texas, U.S.A." GEOPHYSICS 71, no. 5 (2006): B151—B158. http://dx.doi.org/10.1190/1.2335636.

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In west Texas, fractured-chert reservoirs of Devonian age have produced more than 700 million barrels of oil. About the same amount of mobile petroleum remains in place. These reservoirs are characterized by microporosity; they are heterogeneous and compartmented, which results in recovery of less than 30% of the oil in place. In this case study the objective was to use cores, petrophysical logs, rock physics, and seismic attributes to characterize porosity and field-scale fractures. The relations among porosity, velocity, and impedance were explored and also reactions among production, impeda
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Zhang, Xin Rong, Shi Fang, Jin Ping Liu, and Mao Xin Yang. "FRSTM Fracture-Based Pre-Stack Elastic Wave Impedance Inversion of Fuyang Oil Layer in Songliao Basin." Applied Mechanics and Materials 443 (October 2013): 675–80. http://dx.doi.org/10.4028/www.scientific.net/amm.443.675.

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The later-period structure of Fuyang oil layer is complex and its reservoir is mostly composed by the sand bodies of riverways. The oil and gas reservoir features obvious concealment, and also is difficult to identify. To accurately describe the reservoir, a pre-stack elastic wave impedance inversion was made for Fuyang oil layer in Songliao Basin using FRSTM fracture. The pre-stack inversion results statistical error was small if the thickness of sandstone was greater than 3m. The error was close to 100% according to the standard less than 20%, namely the pre-stack inversion prediction accura
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Herawati, Ida, and Muhammad Ilham Al Haj. "IDENTIFIKASI PROSPEK HIDROKARBON MENGGUNAKAN METODE INVERSI SIMULTAN PADA LAPANGAN TEAPOT DOME, WYOMING." Jurnal Rekayasa Geofisika Indonesia 5, no. 02 (2023): 82–97. http://dx.doi.org/10.56099/jrgi.v5i02.4.

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Formasi First Wall Creek dan Second Wall Creek merupakan interval reservoir di Lapangan Teapot Dome, Wyoming, Amerika Serikat. Untuk mengetahui persebaran litologi dan jenis fluida pada formasi tersebut, pada penelitian ini dilakukan pemetaan atribut seismik dengan proses inversi. Metode inversi simultan diaplikasikan pada data angle gather untuk mendapatkan nilai atribut dari reservoir First Wall Creek (F1WC) dan Second Wall Creek (F2WC). Analisis crossplot dari data log empat sumur menunjukkan bahwa atribut impedansi P, Vp/Vs, lambda-rho, dan mu-rho dapat membedakan zona reservoir dan non-re
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Umeadi, E. V., and A. O. Balogun. "Fluid and Lithology Discrimination for Reservoir Characterization of HAX Field, Offshore Niger Delta." Asian Journal of Research and Reviews in Physics 7, no. 1 (2023): 33–56. http://dx.doi.org/10.9734/ajr2p/2023/v7i1133.

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Fluid and lithology discrimination for reservoir characterization of HAX field, offshore Niger Delta was carried out in this study. Three reservoir intervals, R_4500, R_5500, and R_6500 were picked, identified, and correlated across the four wells; but only the R_5500 reservoir was analyzed. The cross-plot analysis of elastic rock properties with reservoir properties such as Vp/Vs ratio against Acoustic Impedance, Lambda-Rho against Vp/Vs, Mu-Rho against Density, and Lambda-Rho against Mu-Rho colour-coded by gamma ray, water saturation, and density respectively was carried out for fluid and li
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Li, Meng, Zhen Liu, Minzhu Liu, and Huilai Zhang. "Prediction of residual oil saturation by using the ratio of amplitude attributes of time-lapse seismic data." GEOPHYSICS 82, no. 1 (2017): IM1—IM12. http://dx.doi.org/10.1190/geo2015-0453.1.

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Subtraction of baseline and monitoring seismic data is a common step in highlighting reservoir changes in time-lapse seismic interpretation. However, ambiguity exists in the interpretation of the amplitude difference, which is controlled by fluid change and reservoir thickness. To estimate the residual oil saturation quantitatively, we have developed a time-lapse seismic interpretation method that uses the ratio of amplitude attributes extracted from the baseline and monitoring seismic data. The relationship between impedance change and the ratio of the baseline and monitoring amplitude attrib
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Adli, I. S., A. Riyanto, and Haryono. "Integrated analysis of inversion acoustic impedance method and spectral decomposition method for sandstone identification, case study Kutai Basin, Eastern Kalimantan." IOP Conference Series: Earth and Environmental Science 846, no. 1 (2021): 012029. http://dx.doi.org/10.1088/1755-1315/846/1/012029.

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Abstract Seismic reflection is a method commonly used to map hydrocarbons. The reservoir can be characterized using the inversion method by converting the seismic data into acoustic impedance values of rock and spectral decomposition methods are used to delineate low-frequency shadow beneath reservoir caused by the presence of hydrocarbon. The combination of these two methods is used to distribute the hydrocarbon reservoir in the target zone. The inversion used in this research is a model-based inversion, while the spectral decomposition method used is continuous wavelet transform. The result
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Adli, I. S., A. Riyanto, and Haryono. "Integrated analysis of inversion acoustic impedance method and spectral decomposition method for sandstone identification, case study Kutai Basin, Eastern Kalimantan." IOP Conference Series: Earth and Environmental Science 846, no. 1 (2021): 012029. http://dx.doi.org/10.1088/1755-1315/846/1/012029.

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Abstract Seismic reflection is a method commonly used to map hydrocarbons. The reservoir can be characterized using the inversion method by converting the seismic data into acoustic impedance values of rock and spectral decomposition methods are used to delineate low-frequency shadow beneath reservoir caused by the presence of hydrocarbon. The combination of these two methods is used to distribute the hydrocarbon reservoir in the target zone. The inversion used in this research is a model-based inversion, while the spectral decomposition method used is continuous wavelet transform. The result
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Bui, Huyen, Jennifer Graham, Shantanu Kumar Singh, Fred Snyder, and Martiris Smith. "Incorporation of geology with rock physics enables subsalt poststack inversion: A case study in the Gulf of Mexico." GEOPHYSICS 76, no. 5 (2011): WB53—WB65. http://dx.doi.org/10.1190/geo2011-2201.1.

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One of the main goals of seismic inversion is to obtain high-resolution relative and absolute impedance for reservoir properties prediction. We aim to study whether the results from seismic inversion of subsalt data are sufficiently robust for reliable reservoir characterization. Approximately [Formula: see text] of poststack, wide-azimuth, anisotropic (vertical transverse isotropic) wave-equation migration seismic data from 50 Outer Continental Shelf blocks in the Green Canyon area of the Gulf of Mexico were inverted in this study. A total of four subsalt wells and four subsalt seismic interp
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Anakwuba, Emmanuel Kenechukwu, Clement Udenna Onyekwelu, and Augustine Ifeanyi Chinwuko. "Integrated workflow approach to static modeling of Igloo R3 reservoir, onshore Niger Delta, Nigeria." Interpretation 3, no. 3 (2015): SZ1—SZ14. http://dx.doi.org/10.1190/int-2014-0178.1.

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We constructed a 3D static model of the R3 reservoir at the Igloo Field, Onshore Niger Delta, by integrating the 3D seismic volume, geophysical well logs, and core petrophysical data. In this model, we used a combined petrophysical-based reservoir zonation and geostatistical inversion of seismic attributes to reduce vertical upscaling problems and improve the estimation of reservoir properties between wells. The reservoir structural framework was interpreted to consist of three major synthetic faults; two of them formed northern and southern boundaries of the field, whereas the other one separ
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Kumar, Abhash, William Harbert, Richard Hammack, Erich Zorn, Alexander Bear, and Timothy Carr. "Evaluating proxies for the drivers of natural gas productivity using machine-learning models." Interpretation 9, no. 4 (2021): SG31—SG46. http://dx.doi.org/10.1190/int-2020-0200.1.

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The extensive development of unconventional reservoirs using horizontal drilling and multistage hydraulic fracturing has generated large volumes of reservoir characterization and production data. The analysis of this abundant data using statistical methods and advanced machine-learning (ML) techniques can provide data-driven insights into well performance. Most predictive modeling studies have focused on the impact that different well completion and stimulation strategies have on well production but have not fully exploited the available in situ rock property data to determine its role in rese
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