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Journal articles on the topic 'Petrophysical parameters'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Aragao, Odette, and Paul Sava. "Elastic full-waveform inversion with probabilistic petrophysical model constraints." GEOPHYSICS 85, no. 2 (2020): R101—R111. http://dx.doi.org/10.1190/geo2019-0285.1.

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Full-waveform inversion (FWI) based on the minimization of data residuals may not enhance our understanding of the subsurface and can at times lead to misleading subsurface models. Additionally, unconstrained multiparameter FWI may also lead to models that do not represent realistic lithology for independently derived parameters. We have developed a method for elastic FWI that explicitly imposes petrophysical restrictions to guide models toward realistic and feasible lithology, that is, to subsurface models consistent with the seismic data and with the underlying petrophysics. We exploit petro

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2

Grana, Dario, and Ernesto Della Rossa. "Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion." GEOPHYSICS 75, no. 3 (2010): O21—O37. http://dx.doi.org/10.1190/1.3386676.

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A joint estimation of petrophysical properties is proposed that combines statistical rock physics and Bayesian seismic inversion. Because elastic attributes are correlated with petrophysical variables (effective porosity, clay content, and water saturation) and this physical link is associated with uncertainties, the petrophysical-properties estimation from seismic data can be seen as a Bayesian inversion problem. The purpose of this work was to develop a strategy for estimating the probability distributions of petrophysical parameters and litho-fluid classes from seismics. Estimation of reser

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Lin, Ying, Guangzhi Zhang, Minmin Huang, Baoli Wang, and Siyuan Chen. "Non-Stationary Random Medium Parameter Estimation of Petrophysical Parameters Driven by Seismic Data." Energies 15, no. 13 (2022): 4849. http://dx.doi.org/10.3390/en15134849.

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The estimation of non-stationary random medium parameters of petrophysical parameters is the key to the application of random medium theory in fine seismic exploration. We proposed a method for estimating non-stationary random medium parameters of petrophysical parameters using seismic data. Based on the linear petrophysical model, the relationship between seismic data and porosity, clay volume, and water saturation in the random medium was described, and the principle and method of estimating the autocorrelation parameters of the petrophysical parameter random medium were introduced in this s

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4

Trofimova, Е. N., Е. V. Artyushkina, O. A. Bikova, et al. "Petrophysical parameters of apogranite tectonites." Neftyanoe khozyaystvo - Oil Industry, no. 6 (2023): 12–15. http://dx.doi.org/10.24887/0028-2448-2023-6-12-15.

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5

Qi, Jing Shun, Ming Jie Yang, and Yu Liu. "Study on Petrophysical Parameters Testing Technology for Loose Rock." Advanced Materials Research 508 (April 2012): 59–62. http://dx.doi.org/10.4028/www.scientific.net/amr.508.59.

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Petrophysical parameters are not only concerned with grain size, but also with the cementation degree. Therefore, it is difficult to determine the petrophysical parameters for the loose core using traditional testing technique. This paper discussed the influence of freeze-sampled loose rock on the test result of rock porosity and permeability. In view of the grains scattering problem in oil-bearing loose rock samples caused by sample deoil, the calibration method for rock permeability and porosity is proposed in this paper through the comparison of testing methods. The test result indicates th

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6

Yogi, Ade. "Petrophysics Analysis for Reservoir Characterization of Cretaceous Clastic Rocks: A Case Study of the Arafura Basin." Jurnal Geologi dan Sumberdaya Mineral 21, no. 3 (2020): 129. http://dx.doi.org/10.33332/jgsm.geologi.v21i3.527.

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This study presents petrophysics analysis results from two wells located in the Arafura Basin. The analysis carried out to evaluate the reservoir characterization and its relationship to the stratigraphic sequence based on log data from the Koba-1 and Barakan-1 Wells. The stratigraphy correlation section of two wells depicts that in the Cretaceous series a transgression-regression cycle. The petrophysical parameters to be calculated are the shale volume and porosity. The analysis shows that there is a relationship between stratigraphic sequences and petrophysical properties. In the study area,

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Song, Xiong, Tongjun Chen, and Dengliang Zhang. "The Acoustic Characteristics of Tectonically Deformed Coal in Huaibei Coalfield." Energies 16, no. 13 (2023): 5179. http://dx.doi.org/10.3390/en16135179.

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Tectonically deformed coal (TDC) is closely related to gas outbursts. Since TDC exploration is an essential objective for coalfield exploration, it is of great significance to study the petrophysical properties of TDCs and explore their differences. This study collected 17 TDCs and undeformed coal samples from the Huaibei coalfield and ultrasonically tested their petrophysical parameters, including densities, P- and S-wave velocities, and their derived petrophysical parameters (VP/VS ratio, P- and S-wave impedances). Undeformed coal and TDCs with different deformation types (brittle, shear, an

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Essien, Ubong, Akaninyene Akankpo, and Okechukwu Agbasi. "Evaluation of Reservoir’s Petrophysical Parameters, Niger Delta, Nigeria." International Journal of Advanced Geosciences 5, no. 1 (2017): 19. http://dx.doi.org/10.14419/ijag.v5i1.7456.

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Petrophysical analysis was performed in two wells in the Niger Delta Region, Nigeria. This study is aimed at making available petrophysical data, basically water saturation calculation using cementation values of 2.0 for the reservoir formations of two wells in the Niger delta basin. A suite of geophysical open hole logs namely Gamma ray; Resistivity, Sonic, Caliper and Density were used to determine petrophysical parameters. The parameters determined are; volume of shale, porosity, water saturation, irreducible water saturation and bulk volume of water. The thickness of the reservoir varies b

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Saroji, Sudarmaji, Wandia Mellani Trihapsari, and Muhammad Destrayuda Trisna. "Implementation of Deterministic and Multimineral Method in Petrophysical Analysis for Identifying Low Resistivity Reservoir in Tesla Field, Air Benakat Formation, South Sumatera Basin." Aceh International Journal of Science and Technology 13, no. 3 (2025): 180–92. https://doi.org/10.13170/aijst.13.3.36698.

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The Tesla field is located in the South Sumatra Basin, where there is the Air Benakat Formation, with the constituent rocks being dominated by alternating sandstone and claystone so that it is a shaly sand environment with the potential to become a low-resistivity hydrocarbon reservoir. Hydrocarbon reservoirs generally have a resistivity log value of more than 10 Ωm; when a hydrocarbon reservoir has a low-resistivity value between 0.5 - 5 Ωm, it is referred to as a low-resistivity hydrocarbon reservoir. Initially, deterministic analysis was carried out to calculate the petrophysical parameters

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10

Hasan, Hiba, and Sameera Hamd-Allah. "Estimation of the Fracturing Parameters and Reservoir Permeability Using Diagnostic Fracturing Injection Test." Iraqi Geological Journal 56, no. 2A (2023): 247–59. http://dx.doi.org/10.46717/igj.56.2a.19ms-2023-7-28.

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The term "tight reservoir" is commonly used to refer to reservoirs with low permeability. Tight oil reservoirs have caused worry owing to its considerable influence upon oil output throughout the petroleum sector. As a result of its low permeability, producing from tight reservoirs presents numerous challenges. Because of their low permeability, producing from tight reservoirs is faced with a variety of difficulties. The research aim is to performing hydraulic fracturing treatment in single vertical well in order to study the possibility of fracking in the Saady reservoir. Iraq's Halfaya oil f

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11

Al-Mamouri, Abdullah, Amer Al-Khafaji, and Ali Al-Musawi. "The Asmari Formation Petrophysical Parameters in the Abu Ghirab Oil Field of the Zagros Fold Belt Basin, Southeastern Iraq, Using Well Log Data Interpretation." Iraqi Geological Journal 55, no. 2E (2022): 128–39. http://dx.doi.org/10.46717/igj.55.2e.8ms-2022-11-22.

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The current study represents the evaluation of petrophysical characteristics, lithological analysis, and identification of the Asmari Formation for the main and sub-reservoir units in the Abu Ghirab oil field, Maysan, southeast of Iraq. This petrophysical assessment was accomplished using the interpretations of well log data to know the properties of the Asmari Formation reservoir. The available logs such as resistivity, gamma ray, neutron and density logs were converted to digital data using the Diger Sotware. The lithic properties of the reservoir like porosity, total shale saturation, oil a

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12

K, Taheri. "Determination of Petrophysical Parameters of Reservoir Rock with a Special Look to Shale Effect (Case Study: One of the Gas Fields in Southern Iran)." Petroleum & Petrochemical Engineering Journal 5, no. 2 (2021): 1–10. http://dx.doi.org/10.23880/ppej-16000262.

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Determination of petrophysical parameters is necessary for modeling hydrocarbon reservoir rock. The petrophysical properties of rocks influenced mainly by the presence of clay in sedimentary environments. Accurate determination of reservoir quality and other petrophysical parameters such as porosity, type, and distribution of reservoir fluid, and lithology are based on evaluation and determination of shale volume. If the effect of shale volume in the formation not calculated and considered, it will have an apparent impact on the results of calculating the porosity and saturation of the reservo

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13

Qin, Tan, Thomas Bohlen, and Yudi Pan. "Indirect joint petrophysical inversion of synthetic shallow-seismic and multi-offset ground-penetrating radar data." Geophysical Journal International 229, no. 3 (2022): 1770–84. http://dx.doi.org/10.1093/gji/ggac021.

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SUMMARY Both full-waveform inversion (FWI) of shallow-seismic and ground-penetrating radar (GPR) surface recordings have received particular attention in the past decade since they can reconstruct seismic and electromagnetic properties at high resolution. For consistent near-surface imaging, seismic and GPR wavefields can be combined by joint petrophysical inversion (JPI) using classical time-domain FWI. In conventional JPI of wavefields, both shallow-seismic and multi-offset GPR data contribute to reconstructing the same petrophysical parameters. In this paper, we show that seismic and GPR wa

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14

Jacinta, C. Nwosu, U. Chukwu Godwill, and U. Igboekwe Magnus. "Petrophysical and Reservoir Summation for the Miocene Niger Delta Region, Nigeria." Journal of Scientific and Engineering Research 8, no. 6 (2021): 39–48. https://doi.org/10.5281/zenodo.10603229.

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<strong>Abstract</strong> The petrophysical characteristics using interactive Petrophysics (IP) software of two wells within the Niger Delta field has been studied to evaluate their hydrocarbon potential. For each well, the following logs were collected; resistivity log, sonic log, density log, neutron log, photo electric log, self potential and gamma-ray log. These in situ well logs were subjected to well log analysis and interpretation methods. The following Petrophysical parameters: porosity, water saturation, reservoir thickness and volume of shale were estimated for each hydrocarbon-beari

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15

Derder, Omar M. "Single Well Petrophysical Analysis: A Case Study of Belle Fourche Shaly-Sand, Hatton Gas Field, Southwest Saskatchewan." Scientific Journal of University of Benghazi 34, no. 1 (2021): 15. http://dx.doi.org/10.37376/sjuob.v34i1.187.

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This case study shows the petrophysical evaluation of the Belle Fourche Formation, Hatton Gas Field, Southwest Saskatchewan, using conventional well log interpretation techniques. The Belle Fourche reservoir analysed is indicated as shaly-sand formation, while petrophysical parameters calculated includes gross thickness, net thickness, volume of shale, porosity, and water saturation. Cross plots, in conjunction with previous core sedimentology study was used to identify lithology as shale dominated by mixed clay. The potassium content remains relatively constant as the clay content increases.

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16

Munadi, Suprajitno. "Avo Inversion Using Levenberg-Marquardt Optimization Technique." Scientific Contributions Oil and Gas 33, no. 2 (2022): 98–105. http://dx.doi.org/10.29017/scog.33.2.812.

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AVO is not only well known as gas indicator over the last two decades but also more importantly, AVO provides us with a means for extracting petrophysical parameters from seismic data. Using AVO anomaly one can derive important petrophysical parameters such as Poisson’s ratio and S-wave velocity. By knowing S-wave velocity nearly all other petrophysical parameters can be calculated. An effective procedure for inverting AVO anomaly is presented in this paper. It avoids inefficient trial and error steps during the matching process between AVO anomaly and calculated AVO. This method uses Levenber

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17

Mahdi, Zahraa, and Ghanim Farman. "3D Geological Model for Zubair Reservoir in Abu-Amood Oil Field." Iraqi Geological Journal 56, no. 1B (2023): 40–50. http://dx.doi.org/10.46717/igj.56.1b.4ms-2023-2-12.

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The Zubair reservoir in the Abu-Amood field is considered a shaly sand reservoir in the south of Iraq. The geological model is created for identifying the facies, distributing the petrophysical properties and estimating the volume of hydrocarbon in place. When the data processing by Interactive Petrophysics (IP) software is completed and estimated the permeability reservoir by using the hydraulic unit method then, three main steps are applied to build the geological model, begins with creating a structural, facies and property models. five zones the reservoirs were divided (three reservoir uni

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18

Abdelrahman, Moataz Mohamed Gomaa, Norbert Péter Szabó, and Mihály Dobróka. "Petrophysical parameters estimation using Levenberg-Marquardt and Singular Value Decomposition inversion schemes." Multidiszciplináris tudományok 11, no. 5 (2021): 24–38. http://dx.doi.org/10.35925/j.multi.2021.5.3.

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Well logging inversion was carried out using Levenberg-Marquardt (LM) and Singular Value Decomposition (SVD) techniques for the determination of petrophysical parameters, respectively. In this research, synthetic data contaminated with 5% Gaussian noise, and field data were used to compare the results from the two inversion methods. MATLAB software has been developed to solve the overdetermined inverse problem. The estimated petrophysical parameters from both inversion methods had been compared to one another in terms of robustness to noise, rock interface differentiation, different fluid pred

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19

Shreya, Shamiha Shafinaz, Md Anwar Hossain Bhuiyan, Shakhawat Hossain, and Tania Sultana. "Petrophysical Reservoir Characterization of Habiganj Gas Field, Surma Basin, Bangladesh." Dhaka University Journal of Earth and Environmental Sciences 10, no. 1 (2021): 1–10. http://dx.doi.org/10.3329/dujees.v10i1.56275.

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The previous studies on the petrophysical and volumetric analysis of Habiganj gas field were based on limited well data. As the accuracy of volumetric analysis relies greatly on petrophysical parameters, it is important to estimate them accurately. In this study we analyzed all eleven wells drilled in the Habiganj field to determine the petrophysical parameters. Analysis of the well logs revealed two distinct reservoir zones in this field termed as upper reservoir zone and lower reservoir zone. Stratigraphically, these two reservoir zones are in the Bokabil and Bhuban Formation of Surma Group.

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Bosch, Miguel, Luis Cara, Juan Rodrigues, Alonso Navarro, and Manuel Díaz. "A Monte Carlo approach to the joint estimation of reservoir and elastic parameters from seismic amplitudes." GEOPHYSICS 72, no. 6 (2007): O29—O39. http://dx.doi.org/10.1190/1.2783766.

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Inversion of seismic data and quantification of reservoir properties, such as porosity, lithology, or fluid saturation, are commonly executed in two consecutive steps: a geophysical inversion to estimate the elastic parameters and a petrophysical inversion to estimate the reservoir properties. We combine within an integrated formulation the geophysical and petrophysical components of the problem to estimate the elastic and reservoir properties jointly. We solve the inverse problem following a Monte Carlo sampling approach, which allows us to quantify the uncertainties of the reservoir estimate

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21

LYSAK, Yulia, Yuriy SHPOT, Andriy SHYRA, Zoriana KUCHER, and Ihor KUROVETS. "PETROPHYSICAL MODELS OF TERRIGENOUS RESERVOIRS OF THE CARBONIFEROUS DEPOSITS OF THE CENTRAL PART OF THE DNIEPER-DONETS DEPRESSION." Geology and Geochemistry of Combustible Minerals 1, no. 178 (2019): 63–73. http://dx.doi.org/10.15407/ggcm2019.01.063.

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The purpose of the work was to construct petrophysical models of reservoir rocks of different rank: typical and unified. Typical models describe connections between the parameters of individual rocks lithotypes occurring in definite geological conditions and serving as the basis for the development of petrophysical classification of reservoir rocks in the oil geology. The principle of unification provides for creation of the models structure for different reservoir lithotypes both in the geological section and in the area. We have studied petrophysical properties of reservoir rocks of Carbonif

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22

Oyno, Lars, B. G. Tjetland, K. H. Esbensen, Rune Solberg, Aase Scheie, and Tore Larsen. "Prediction of Petrophysical Parameters Based on Digital Video Core Images." SPE Reservoir Evaluation & Engineering 1, no. 01 (1998): 82–87. http://dx.doi.org/10.2118/36853-pa.

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Summary Core-slab photography is a common way to document geological information from cores. Past practice has been to photograph core slabs with ordinary cameras that produce paper photographs. The presented method retrieves petrophysical properties from high-resolution digital video core images. The procedures described in this work are based on video images (standard RIO/B camera) of cores taken with a digital recording system. The system is able to record in both visible and UV light at different illumination angles, store images, compress/decompress images, and display one or several imag

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23

Lis-Śledziona, Anita, and Weronika Kaczmarczyk-Kuszpit. "A Technique of Hydrocarbon Potential Evaluation in Low Resistivity Gas-Saturated Mudstone Horizons in Miocene Deposits, South Poland." Energies 15, no. 5 (2022): 1890. http://dx.doi.org/10.3390/en15051890.

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The petrophysical properties of Miocene mudstones and gas bearing-heteroliths were the main scope of the work performed in one of the multihorizon gas fields in the Polish Carpathian Foredeep. Ten boreholes were the subject of petrophysical interpretation. The analyzed interval covered seven gas-bearing Miocene horizons belonging to Sarmatian and Badenian deposits. The water saturation in shaly sand and mudstone intervals was calculated using the Montaron connectivity theory approach and was compared with Simandoux water saturation. Additionally, the Kohonen neural network was used for qualita

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El-Sayed Land, A. A., and M. D. El-Dairy. "Evaluation of Some Petrophysical Parameters for the Lower Cretaceous Reservoir Rocks, Western Desert, Egypt." Journal Geological Society of India 33, no. 5 (1989): 457–68. http://dx.doi.org/10.17491/jgsi/1989/330509.

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Abstract Water saturation in otherwise hydrocarbon-saturated sandstones is closely related to the sandstone's clay mineralogy. Laboratory analysis of 20 sandstone core samples containing kaolinite, illite and chlorite is used to provide the basis for deciding which petrophysical parameters are most suitable for evaluating clay mineral content and distribution. Among the measured petrophysical parameters, the Mounce potential gives the most realistic correlation with actual clay mineralogy. The existence of both siderite and hematite as cementing materials within the Kharita sandstone pore spac

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25

Li, Kun, Xingyao Yin, Zhaoyun Zong, and Dario Grana. "Estimation of porosity, fluid bulk modulus, and stiff-pore volume fraction using a multitrace Bayesian amplitude-variation-with-offset petrophysics inversion in multiporosity reservoirs." GEOPHYSICS 87, no. 1 (2021): M25—M41. http://dx.doi.org/10.1190/geo2021-0029.1.

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The estimation of petrophysical and fluid-filling properties of subsurface reservoirs from seismic data is a crucial component of reservoir characterization. Seismic amplitude-variation-with-offset (AVO) inversion driven by rock physics is an effective approach to characterize reservoir properties. In general, PP-wave reflection coefficients, elastic moduli, and petrophysical parameters are nonlinearly coupled, especially in multiple-type pore-space reservoirs, which makes seismic AVO petrophysics inversion ill-posed. We have developed a new approach that combines Biot-Gassmann’s poroelasticit

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Abdelrahman, M. M. G., and N. P. Szabó. "A case study of petrophysical prediction using machine learning integrated with interval inversion in a tight sand reservoir in Egypt." IOP Conference Series: Earth and Environmental Science 1295, no. 1 (2024): 012008. http://dx.doi.org/10.1088/1755-1315/1295/1/012008.

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Abstract This study presents a new algorithm for reservoir characterization using borehole logging data, which integrates unsupervised machine learning techniques and interval inversion to automatically determine layers’ boundaries and petrophysical parameters. The research aims to reduce the time and manual input required for borehole inversion to estimate petrophysical parameters. The algorithm was used to predict different layer boundaries of sand-shale intercalations for both synthetic and field wireline log data. Field well logging measurements were obtained from an oil and gas field in E

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27

Singh, T. N., Abhishek Jain, and Kripamoy Sarkar. "Petrophysical parameters affecting the microbit drillability of rock." International Journal of Mining and Mineral Engineering 1, no. 3 (2009): 261. http://dx.doi.org/10.1504/ijmme.2009.027256.

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Poggiagliolmi, Elio, and Dominic Lowden. "An integrated approach to reservoir petrophysical parameters evaluation." Bulletin of the Geological Society of Malaysia 28 (November 30, 1991): 37–49. http://dx.doi.org/10.7186/bgsm28199102.

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Abdelrahman, Moataz Mohamed Gomaa, Norbert Péter Szabó, and Mihály Dobróka. "Meta-algorithm assisted interval inversion for petrophysical properties prediction." Multidiszciplináris tudományok 12, no. 4 (2022): 242–60. http://dx.doi.org/10.35925/j.multi.2022.4.26.

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Well logging inversion was carried out using Levenberg-Marquardt (LM) and Singular Value Decomposition (SVD) techniques for the determination of petrophysical parameters, respectively. In this research, synthetic data contaminated with 5% Gaussian noise, and field data were used to compare the results from the two inversion methods. MATLAB software has been developed to solve the overdetermined inverse problem. The estimated petrophysical parameters from both inversion methods had been compared to one another in terms of robustness to noise, rock interface differentiation, different fluid pred

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Movahed, Ata, Mohsen Masihi, and Abdonabi Hashemi. "Investigation of Petrophysical Parameters of Upper Sarvak Formation in One of the Iran South Oilfields." Current World Environment 10, Special-Issue1 (2015): 740–51. http://dx.doi.org/10.12944/cwe.10.special-issue1.89.

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In this study, the upper Sarvak’s petrophysical parameters have been investigated in two A and B wells in one of the oil field in southern Iran. Based on this assessment and the use of conventional cross plots (neutron-density, sonic- neutron, MID_PLOT and M-N PLOT), lithology of upper Sarvak has been identified as a combination of limestone, dolomite and in small amounts, shale. With respect to calculated petrophysical properties and to more precise evaluation, the upper Sarvak in the studied area has been divided into 5 Zones. With respect to the specific petrophysical properties, zone S2 ha

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Bachrach, Ran, and Edan Gofer. "A nonlinear and anisotropic data-driven litho-petroelastic inversion for single-loop subsurface characterization: Theory, uncertainties, and a case study." Leading Edge 39, no. 2 (2020): 119–27. http://dx.doi.org/10.1190/tle39020119.1.

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A new data assimilation algorithm for joint litho-petroelastic (LPE) inversion using nonlinear anisotropic Zoeppritz reflectivity operators, together with iterative sequential filtering, is used to provide joint elastic, lithology, and petrophysical estimates. The sequential filtering approach is an attractive choice because integration of petroelastic rock models with seismic data for multiparameter estimation can become quickly ill posed. Data assimilation techniques integrate the data and model in a manner that tracks uncertainties and manages the flow of data, which helps control this diff

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Filatov, Vladimir. "ON PETROPHYSICAL PARAMETERS’S RELATIONS IN FRACTAL MEDIUM." Interexpo GEO-Siberia 2, no. 2 (2019): 241–47. http://dx.doi.org/10.33764/2618-981x-2019-2-2-241-247.

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Features of influence of fractal characteristics of the environment on interrelation of petrophysical parameters in heterogeneous fluid-saturated medium on the example of the collection of core samples from the productive horizons of the Devonian and of the Carboniferous are considered. It is shown that the typical characteristics of fractal mediums, connecting physical characteristics with the impedance can be used at the prediction of petrophysical parameters at the lack of information.

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Hajto, Marek, Anna Przelaskowska, Grzegorz Machowski, Katarzyna Drabik, and Gabriel Ząbek. "Indirect Methods for Validating Shallow Geothermal Potential Using Advanced Laboratory Measurements from a Regional to Local Scale—A Case Study from Poland." Energies 13, no. 20 (2020): 5515. http://dx.doi.org/10.3390/en13205515.

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This paper presents a broad overview of laboratory methods for measuring thermal properties and petrophysical parameters of carbonate rocks, and analytical methods for interpreting the obtained data. The investigation was conducted on carbonate rock samples from the Kraków region of Poland in the context of shallow geothermal potential assessment. The measurement techniques used included standard macroscopic examinations; petrophysical investigations (porosity, density); analysis of mineral composition thermal conductivity (TC) and specific heat measurements; and advanced investigations with t

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Sarki, Laouali Ibrahim, Bohari Abdou Dodo, Vitaline Vanessa Morabo Okoletimou, and Moussa Harouna. "Geological Modeling of Sandstone Formations and Petrophysical Characterization of Hydrocarbon Reservoirs in the Termit Basin, Eastern Niger: Case of the Goumeri Prospect." European Scientific Journal, ESJ 19, no. 18 (2023): 150. http://dx.doi.org/10.19044/esj.2023.v19n18p150.

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This study focuses on the geological model of sandstone formations and the petrophysical characterization of hydrocarbon reservoirs in the Termit Basin. The specific objectives are: (1) to establish a geological model visualizing the geometry of reservoir rocks and (2) to visualize the spatial and vertical distribution of the petrophysical parameters (porosity, permeability). The methodological approach integrated the interpretation of lithology data and petrographic parameters from the logs by using Petrel software 17.4 versions. The interpretation of the obtained results shows that: the rese

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Ablessenova, Z., L. Issayeva, K. Togizov, S. Assubayeva, and M. Kurmangazhina. "Geophysical indicators of rare-metal ore content of Akmai-Katpar ore zone (Central Kazakhstan)." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 5 (October 30, 2023): 34–40. http://dx.doi.org/10.33271/nvngu/2023-5/034.

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Purpose. Identification of geophysical criteria to determine ore content indicators within the territory relying upon systematization of both geological and geophysical materials. Methodology. The research involved innovative techniques used in the field of geology, i.e. GIS technology, and such theoretical scientific approaches as analysis and synthesis of petrophysical data, and data of geophysical anomalies in the context of the analyzed ore zone. Findings. Petrophysical characteristics of Akmai-Katpar ore zone rocks have been generalized and systematized. Petrophysical model of the ore zon

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SKAKALSKA, Ludmyla, Andriy NAZAREVICH, and Volodymyr KOSARCHYN. "ESTIMATES OF FRACTURE AND PERMEABILITY OF ROCKS IN WELL SECTIONS ACCORDING TO THE PREDICTING METHOD." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 3 (102) (2023): 19–25. http://dx.doi.org/10.17721/1728-2713.102.03.

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The article is devoted to highlighting the methods of studying the petrophysical characteristics of rocks using the developed theoretical-empirical method for predicting the oil and gas capacity of well sections and their results. As a part of the predictive method, methods for determining a number of important petrophysical characteristics of rocks in well sections were additionally developed. In particular, cracking and permeability of rocks is estimated by the indicator of crack opening – the Qside parameter, the strength of rocks is estimated by volume density and velocities of elastic bul

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Mohamed, Ahmed S., Awad A. Omran, Mostafa T. Mohamed, and Bassem S. Nabawy. "Petrophysical analysis and hydrocarbon potential of the Matulla Formation in the Muzhil Field, central part of the Gulf of Suez, Egypt." Mining of Mineral Deposits 17, no. 2 (2023): 121–39. http://dx.doi.org/10.33271/mining17.02.121.

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Purpose. The research is aimed at evaluating the petrophysical characteristics of the Late Cretaceous Matulla Formation in the central part of the Gulf of Suez in order to detect its hydrocarbon reservoir potential. Methods. Well logs from five wells (Muzhil-1, -2, -4, -7, -8) were used to evaluate the Matulla reservoirs based on a computerized approach. Petrophysical parameters and fluid types were calculated, verified using core data, and represented vertically as lithosaturation cross plots and laterally as isoparametric variation maps.. Findings. Evaluation of total porosity (Φt), effectiv

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Katz, Simon, George Chilingar, Fred Aminzadeh, and Leonid Khilyuk. "Dissimilarity Analysis of Petrophysical Parameters as Gas-sand Predictors." Journal of Sustainable Energy Engineering 2, no. 2 (2014): 101–15. http://dx.doi.org/10.7569/jsee.2014.629507.

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Suhail, Ahmed Abdulwahhab, Mohammed H. Hafiz, and Fadhil S. Kadhim. "Petrophysical Properties of Nahr Umar Formation in Nasiriya Oil Field." Iraqi Journal of Chemical and Petroleum Engineering 21, no. 3 (2020): 9–18. http://dx.doi.org/10.31699/ijcpe.2020.3.2.

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Petrophysical characterization is the most important stage in reservoir management. The main purpose of this study is to evaluate reservoir properties and lithological identification of Nahr Umar Formation in Nasiriya oil field. The available well logs are (sonic, density, neutron, gamma-ray, SP, and resistivity logs). The petrophysical parameters such as the volume of clay, porosity, permeability, water saturation, were computed and interpreted using IP4.4 software. The lithology prediction of Nahr Umar formation was carried out by sonic -density cross plot technique. Nahr Umar Formation was

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Abdulaziz, Qahtan. "Effect of Formation Characteristics on Rate of Pentaration Modeling Using Multiple Regression Methods: A Case Study of an Oil Well in Khasib Formation, Buzurgan Oil Field." Iraqi Geological Journal 58, no. 1B (2025): 75–83. https://doi.org/10.46717/igj.58.1b.6ms-2025-2-14.

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The reservoir description relies heavily on petrophysical characteristics while drilling operations are governed by geomechanical characteristics. Improving the rate of penetration ROP is one of the key methods to reduce drilling costs. ROP is affected by different interconnected factors, which makes it very difficult to infer the mutual effect of each individual parameter. A robust ROP is required to understand the complexity of the drilling process. Therefore, multiple Regression methods are used to predict ROP and capture the effect of the changes in the drilling parameters and formation ch

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Tian, Zhiwen, Jinshui Liu, Huafeng Tang, et al. "Petrophysical Acoustic Characterization of Weathered Granite: A Case Study of Mesozoic Granites in the Coastal Area of Fujian Province, China." Minerals 13, no. 4 (2023): 514. http://dx.doi.org/10.3390/min13040514.

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In recent years, with the exploration and development of granite buried-hill oil and gas reservoirs, petrophysics research has played an important role in the study of reservoir characteristics and fluid identification. Through analysis of the relationship between the fluid-bearing petrophysical parameters and the reservoir, the seismic response changes caused by reservoir fluid changes can be determined. Mesozoic granites in the coastal area of Fujian Province in eastern China were investigated as the research object of this project. The mineral composition, density, porosity, P-wave velocity

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Shahraeeni, Mohammad S., and Andrew Curtis. "Fast probabilistic nonlinear petrophysical inversion." GEOPHYSICS 76, no. 2 (2011): E45—E58. http://dx.doi.org/10.1190/1.3540628.

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We have developed an extension of the mixture-density neural network as a computationally efficient probabilistic method to solve nonlinear inverse problems. In this method, any postinversion (a posteriori) joint probability density function (PDF) over the model parameters is represented by a weighted sum of multivariate Gaussian PDFs. A mixture-density neural network estimates the weights, mean vector, and covariance matrix of the Gaussians given any measured data set. In one study, we have jointly inverted compressional- and shear-wave velocity for the joint PDF of porosity, clay content, an

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Wang, Pu, Xiaohong Chen, Benfeng Wang, Jingye Li, and Hengchang Dai. "An improved method for lithology identification based on a hidden Markov model and random forests." GEOPHYSICS 85, no. 6 (2020): IM27—IM36. http://dx.doi.org/10.1190/geo2020-0108.1.

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Subsurface petrophysical properties usually differ between different reservoirs, which affects lithology identification, especially for unconventional reservoirs. Thus, the lithology identification of subsurface reservoirs is a challenging task. Machine learning can be regarded as an effective method for using existing data for lithology prediction. By combining the hidden Markov model and random forests, we have adopted a novel method for lithology identification. The hidden Markov model provides a new hidden feature from elastic parameters, which is associated with unsupervised learning. Bec

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Jooybari, A., and P. Rezaie. "Petrophysical Evaluation of the Sarvak Formation Based on Well Logs in Dezful Embayment, Zagros Fold Zone, South West of Iran." Engineering, Technology & Applied Science Research 7, no. 1 (2017): 1358–62. http://dx.doi.org/10.48084/etasr.982.

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Dezful embayment in the south west of Iran is part of Zagros fold zone which despite the small area includes almost all of Iran oil production. Sarvak Formation with middle cretaceous (Albin-Turunin) is the second biggest reservoir of Zagros basin, after the Asmari formation. In this study, with well logging data of two wells, by Geolog software, the petrophysical parameters of Sarvak Formation in the Dezful embayment was studied using the contingent Probabilistic method. Petrophysical parameters such as determination of porosity, water saturation, shale volume and lithology were calculated us

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Jooybari, A., and P. Rezaie. "Petrophysical Evaluation of the Sarvak Formation Based on Well Logs in Dezful Embayment, Zagros Fold Zone, South West of Iran." Engineering, Technology & Applied Science Research 7, no. 1 (2017): 1358–62. https://doi.org/10.5281/zenodo.291435.

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Dezful embayment in the south west of Iran is part of Zagros fold zone which despite the small area includes almost all of Iran oil production. Sarvak Formation with middle cretaceous (Albin-Turunin) is the second biggest reservoir of Zagros basin, after the Asmari formation. In this study, with well logging data of two wells, by Geolog software, the petrophysical parameters of Sarvak Formation in the Dezful embayment was studied using the contingent Probabilistic method. Petrophysical parameters such as determination of porosity, water saturation, shale volume and lithology were calculated us

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Lei, Xing, Liu Xueqin, Liu Huaishan, Qin Zhiliang, and Ma Benjun. "Research on the Construction of a Petrophysical Model of a Heterogeneous Reservoir in the Hydrate Test Area in the Shenhu Area of the South China Sea (SCS)." Geofluids 2021 (October 31, 2021): 1–19. http://dx.doi.org/10.1155/2021/5586118.

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The occurrence characteristics of hydrates in the Shenhu area reflect a typical inhomogeneity in terms of spatial distribution. It is difficult to accurately describe the petrophysical properties of a reservoir using a petrophysical model considering a single cementation factor parameter. According to the analysis of a mathematical model and the estimation results of V p and V s , the unique structure of foraminiferal sediment particles provides opportunities for forming a diversified hydrate occurrence in the foraminiferal area. In areas where hydrates are thin and interbedded, hydrate reserv

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Bosch, Miguel. "The optimization approach to lithological tomography: Combining seismic data and petrophysics for porosity prediction." GEOPHYSICS 69, no. 5 (2004): 1272–82. http://dx.doi.org/10.1190/1.1801944.

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Least‐squares model optimization methods are commonly used to estimate physical media properties by fitting geophysical data with nonlinear models. I extend this formulation to joint estimation of physical properties and lithological description of the media. Incorporation of petrophysical information within the inversion scheme provides the coupling between lithology and media physics by describing the geostatistical relation between them. The resulting procedure adjusts iteratively the joint model to simultaneously fit geophysical data, the petrophysical statistical medium description, and p

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Hou, Jue, Lun Zhao, Xing Zeng, et al. "Characterization and Evaluation of Carbonate Reservoir Pore Structure Based on Machine Learning." Energies 15, no. 19 (2022): 7126. http://dx.doi.org/10.3390/en15197126.

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The carboniferous carbonate reservoirs in the North Truva Oilfield have undergone complex sedimentation, diagenesis and tectonic transformation. Various reservoir spaces of pores, caves and fractures, with strong reservoir heterogeneity and diverse pore structures, have been developed. As a result, a quantitative description of the pore structure is difficult, and the accuracy of logging identification and prediction is low. These pose a lot of challenges to reservoir classification and evaluation as well as efficient development of the reservoirs. This study is based on the analysis of core,

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Lorenzen, Robert. "Multivariate linear regression of sonic logs on petrophysical logs for detailed reservoir characterization in producing fields." Interpretation 6, no. 3 (2018): T543—T553. http://dx.doi.org/10.1190/int-2018-0030.1.

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Many development wells do not have sonic logs recorded, often because of mechanical issues with deviated wellbores or high cost. Consequently, tying development wells to the seismic data covering the field becomes difficult. This issue is magnified in fields where multiple heterogeneous thin sands form thick-stacked pay packages. Multivariate linear regression is a powerful tool to analyze the interdependence of data. Well data from three producing fields in the Balingian Province, offshore Sarawak, Malaysia, are used to calculate parameters relating the recorded sonic-log data to other record

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Shahraeeni, Mohammad S., Andrew Curtis, and Gabriel Chao. "Fast probabilistic petrophysical mapping of reservoirs from 3D seismic data." GEOPHYSICS 77, no. 3 (2012): O1—O19. http://dx.doi.org/10.1190/geo2011-0340.1.

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A fast probabilistic inversion method for 3D petrophysical property prediction from inverted prestack seismic data has been developed and tested on a real data set. The inversion objective is to estimate the joint probability density function (PDF) of model vectors consisting of porosity, clay content, and water saturation components at each point in the reservoir, from data vectors with compressional- and shear-wave-impedance components that are obtained from the inversion of seismic data. The proposed inversion method is based on mixture density network (MDN), which is trained by a given set

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