Relevant bibliographies by topics / Seismic reservoir characterization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Seismic reservoir characterization'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Seismic reservoir characterization.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Seismic reservoir characterization"

1

Wang, Yanghua. "Reservoir characterization based on seismic spectral variations." GEOPHYSICS 77, no. 6 (November 1, 2012): M89—M95. http://dx.doi.org/10.1190/geo2011-0323.1.

Full text
Abstract:
The seismic frequency spectrum provides a useful source of information for reservoir characterization. For a seismic profile presented in the time-space domain, a vector of the frequency spectrum can be generated at every sampling point. Because the spectrum vectors at different time-space locations have different variation features, I attempt for the first time to exploit the variation pattern of the frequency spectrum for reservoir characterization, and test this innovative technology in prediction of coalbed methane (CBM) reservoirs. The prediction process implicitly takes account of the CBM reservoir factors (such as viscosity, elasticity, cleat system, wave interference within a coal seam, etc.) that affect the frequency spectrum, but strong amplitudes in seismic reflections do not necessarily show any influence in clustering analysis of spectral variation patterns. By calibrating these variation patterns quantitatively with CBM productions in well locations, we are able to characterize the spatial distribution of potential reservoirs.
APA, Harvard, Vancouver, ISO, and other styles
2

Miotti, Fabio, Andrea Zerilli, Paulo T. L. Menezes, João L. S. Crepaldi, and Adriano R. Viana. "A new petrophysical joint inversion workflow: Advancing on reservoir’s characterization challenges." Interpretation 6, no. 3 (August 1, 2018): SG33—SG39. http://dx.doi.org/10.1190/int-2017-0225.1.

Full text
Abstract:
Reservoir characterization objectives are to understand the reservoir rocks and fluids through accurate measurements to help asset teams develop optimal production decisions. Within this framework, we develop a new workflow to perform petrophysical joint inversion (PJI) of seismic and controlled-source electromagnetic (CSEM) data to resolve for reservoirs properties. Our workflow uses the complementary information contained in seismic, CSEM, and well-log data to improve the reservoir’s description drastically. The advent of CSEM, measuring resistivity, brought the possibility of integrating multiphysics data within the characterization workflow, and it has the potential to significantly enhance the accuracy at which reservoir properties and saturation, in particular, can be determined. We determine the power of PJI in the retrieval of reservoir parameters through a case study, based on a deepwater oil field offshore Brazil in the Sergipe-Alagoas Basin, to augment the certainty with which reservoir lithology and fluid properties are constrained.
APA, Harvard, Vancouver, ISO, and other styles
3

Decker, Luke, Xavier Janson, and Sergey Fomel. "Carbonate reservoir characterization using seismic diffraction imaging." Interpretation 3, no. 1 (February 1, 2015): SF21—SF30. http://dx.doi.org/10.1190/int-2014-0081.1.

Full text
Abstract:
Although extremely prolific worldwide, carbonate reservoirs are challenging to characterize using traditional seismic reflection imaging techniques. We used computational experiments with synthetic models to demonstrate the possibility that seismic diffraction imaging has of overcoming common obstacles associated with seismic reflection imaging and aiding interpreters of carbonate systems. Diffraction imaging improved the horizontal resolution of individual voids in a karst reservoir model and identification of heterogeneous regions below the resolution of reflections in a reservoir-scale model.
APA, Harvard, Vancouver, ISO, and other styles
4

Gao, Dengliang, and Taizhong Duan. "Seismic structure and texture analyses for fractured reservoir characterization: An integrated workflow." Interpretation 5, no. 4 (November 30, 2017): T623—T639. http://dx.doi.org/10.1190/int-2016-0238.1.

Full text
Abstract:
Fractured reservoir prediction is risky and challenging because of the variability in fracture characteristics and the lack of direct observational data in the subsurface. To reduce the risk and challenge, we have developed an integrated workflow to predict fractured reservoirs based on 3D seismic data. The workflow begins with reservoir structure analysis from seismic reflection geometry, which is referred to as seismic structure analysis, to define fracture intensity and fracture orientation using maximum curvature and maximum flexure algorithms. Next, the workflow proceeds with reservoir texture analysis from seismic amplitude signal, which is referred to as seismic texture analysis, to evaluate fracture scale and reservoir facies using waveform regression and calibration algorithms. The results from seismic structure and texture analyses are then used for modeling reservoir properties and fracture networks. Each algorithmic method in the workflow is tested in a siliciclastic tight-sand reservoir in the Teapot Dome oil field (Powder River Basin) and in a carbonate reservoir in the South Pars gas field (Persian Gulf Basin). The test results reveal the previously unknown reservoir heterogeneity and anisotropy that are interpreted to be attributable to the variability in fracture characteristics. It is concluded that the integrated workflow based on seismic structure and texture analyses could potentially contribute to reducing the risk and challenge in characterizing fractured reservoirs in the subsurface.
APA, Harvard, Vancouver, ISO, and other styles
5

Duan, Ru Tai, Zhen Kui Jin, and Chong Hui Suo. "Seismic Stratigraphy and Seismic Geomorphology: Insights on Characterization of a Carbonate Reservoir." Applied Mechanics and Materials 138-139 (November 2011): 447–52. http://dx.doi.org/10.4028/www.scientific.net/amm.138-139.447.

Full text
Abstract:
Seismic stratigraphy and seismic geomorphology provides an indication of a carbonate platform’s internal and external architecture. High quality 3D seismic data integrated with wireline logs and core materials furthers detailed depositional element analysis, lithology prediction and diagenetic modification of the stratigraphic section, which help to build a depositional model, sequence stratigraphy framework and enhance the evaluation of the reservoir potential of this unit and a prediction of fluid flow during hydrocarbon production. This study mainly focus on using 3D seismic data calibrated with core and logs from oil field A to characterize the stratigraphy and geomorphology of the depositional elements of the carbonate reservoir (Aptaian Stage) and infer the process of the deposition where appropriate. Integration of seismic data with well data provides the frame work for reconstruction depositional evolution history the reservoir. The high seismic resolution of the A reservoirs also provides useful analogs for other subsurface reservoirs from similar depositional environments.
APA, Harvard, Vancouver, ISO, and other styles
6

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 (April 1, 2019): 205–19. http://dx.doi.org/10.29244/jitkt.v11i1.23028.

Full text
Abstract:
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 seismik diintegrasikan dengan data sumur APS-1 sebagai kontrol untuk diinversikan dengan teknik inversi berbasis model sehingga dapat mengkarakterisasi reservoir. Penelitian ini bertujuan membandingkan hasil migrasi seismik yaitu migrasi Stolt dan migrasi Kirchhoff untuk diinversikan menggunakan metode inversi berbasis model sehingga dapat diketahui sejauh mana kualitas data seismik mempengaruhi proses karakterisasi reservoir. Nilai korelasi dari hasil analisis regresi antara log impedansi inversi dengan log impedansi data sumur pada migrasi Kirchhoff sebesar 0,739 dan galat regresi sebesar 873,54, sedangkan pada migrasi Stolt memiliki nilai korelasi sebesar 0,698 dan nilai galat sebesar 1236,17. Hal ini menunjukkan bahwa migrasi Kirchhoff lebih baik dari migrasi Stolt baik secara kualitatif maupun kuantitatif dalam mengkarakterisasi reservoir hidrokarbon. ABSTRACTReservoir characterization is an important method in gas and oil exploration. In order to obtain accuracy for defining reservoir, required seismic image that similar to the actual seismic image. The complexity of earth structure could cause diffracted waves, therefore, seismic image was diffracted from its actual position. This study applies Kirchhoff and Stolt (F-K) seismic migration methods to restore the position of the reflector at the actual time and depth seismic data in North Bali. Seismic data is integrated with APS-1 well data as controls to be converted with model-based inversion techniques so as to characterize the reservoir. This study aims to compare the results of seismic migration namely Stolt and Kirchhoff migration to be converted using a model-based inversion method so that it can be seen to what extent the quality of seismic data influences the reservoir characterization process. Correlation value from the results of regression analysis between inversion log impedance and well impedance log data in Kirchhoff migration is 0.739 and regression error is 873.54, while the Stolt migration has a correlation value of 0.698 and an error value of 1236.17. This shows that Kirchhoff's migration is better than Stolt migration both qualitatively and quantitatively in characterizing hydrocarbon reservoirs.
APA, Harvard, Vancouver, ISO, and other styles
7

Othman, Adel, Mohamed Fathy, and Islam A. Mohamed. "Application of Artificial Neural Network in seismic reservoir characterization: a case study from Offshore Nile Delta." Earth Science Informatics 14, no. 2 (January 19, 2021): 669–76. http://dx.doi.org/10.1007/s12145-021-00573-x.

Full text
Abstract:
AbstractThe Prediction of the reservoir characteristics from seismic amplitude data is a main challenge. Especially in the Nile Delta Basin, where the subsurface geology is complex and the reservoirs are highly heterogeneous. Modern seismic reservoir characterization methodologies are spanning around attributes analysis, deterministic and stochastic inversion methods, Amplitude Variation with Offset (AVO) interpretations, and stack rotations. These methodologies proved good outcomes in detecting the gas sand reservoirs and quantifying the reservoir properties. However, when the pre-stack seismic data is not available, most of the AVO-related inversion methods cannot be implemented. Moreover, there is no direct link between the seismic amplitude data and most of the reservoir properties, such as hydrocarbon saturation, many assumptions are imbedded and the results are questionable. Application of Artificial Neural Network (ANN) algorithms to predict the reservoir characteristics is a new emerging trend. The main advantage of the ANN algorithm over the other seismic reservoir characterization methodologies is the ability to build nonlinear relationships between the petrophysical logs and seismic data. Hence, it can be used to predict various reservoir properties in a 3D space with a reasonable amount of accuracy. We implemented the ANN method on the Sequoia gas field, Offshore Nile Delta, to predict the reservoir petrophysical properties from the seismic amplitude data. The chosen algorithm was the Probabilistic Neural Network (PNN). One well was kept apart from the analysis and used later as blind quality control to test the results.
APA, Harvard, Vancouver, ISO, and other styles
8

Liu, Yan, and Yanghua Wang. "Seismic characterization of a carbonate reservoir in Tarim Basin." GEOPHYSICS 82, no. 5 (September 1, 2017): B177—B188. http://dx.doi.org/10.1190/geo2016-0517.1.

Full text
Abstract:
Seismic characterization of carbonate reservoirs is a challenging task for geophysicists because of their special depositional environment and complex interior structures. We developed a case study of the seismic characterization of a karstified carbonate reservoir in the Tarim Basin, western China. The characterization procedure is sequential and includes fault and fracture detection, seismic facies classification, seismic impedance inversion, and lithofacies classification. We presented a dip-steered coherence algorithm for detecting faults and karst fractures in the carbonate reservoir. Incorporating the dip information improves the performance and robustness. We applied normalized seismic segments, rather than the amplitude values, as the input to seismic facies classification, so as to reduce the impact of strong amplitudes, such as karst fractures, and to enable the analysis of weak amplitudes in the background strata. For the impedance inversion, we adopted a Fourier integral method for fast simulation in the stochastic inversion in this karstified carbonate reservoir. The algorithm honors the lateral variation based on the seismic trace similarity, instead of the lateral variogram that is commonly used in stochastic inversion. We conducted lithofacies classification, in which we used seismic coherence as a prior knowledge, so as to honor the fracture-associated local lithofacies with dolomitization and to distinguish it from limestone without dolomitization. Based on reservoir characterization described above, we determined three drilling wells for potential oil/gas exploration.
APA, Harvard, Vancouver, ISO, and other styles
9

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 (May 1, 2014): SE91—SE103. http://dx.doi.org/10.1190/int-2013-0150.1.

Full text
Abstract:
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 vertical resolution but also minimizes tuning effects. Mapping the porosity is extremely important in the development of hydrocarbon reservoirs. Combining seismic attributes derived from the PP and PS multicomponent data and porosity logs, we used linear multiregression and neural networking to predict porosity between the seismic attributes and porosity logs at the well locations. After estimating porosity in the well locations, those relationships were applied to the seismic attributes to generate a 3D porosity volume. The porosity volume highlighted the best reservoir facies in the reservoir. The integration of elastic impedance, shear impedance, and porosity improved the reservoir characterization.
APA, Harvard, Vancouver, ISO, and other styles
10

Nador, Elenwo, Fidelis O. Wopara, and Ehirim O. Emmanuel. "Oil and Gas Reservoir Characterization; A Case Study of Agbada Field." GIS Business 14, no. 5 (October 24, 2019): 54–63. http://dx.doi.org/10.26643/gis.v14i5.8893.

Full text
Abstract:
This study on reservoir characterization was conducted using seismic data and well logs. The aim was to characterize the petrophysical properties and structural element in the field for hydrocarbon volume estimation and determination of infill well locations. Three reservoirs were identified (J100, K100, L100) at shallow, middle and deep depths and correlated across the field using gamma ray log. Petrophysical characterization revealed porosity ranges from 25 to 27% in J100 reservoir, 16% to 27% in K100 reservoir and 11 and 18% in L100 reservoir. This shows good to very good porosity values for reservoir rocks. On average, water saturation is 80%, 68% and 70% in J100, K100, and L100 reservoirs. Net to gross ranged from 24 to 77% in J100, 38 to 82% in K100 and 29 to 75% in L100 and L100 reservoir. Average net to gross revealed that the sands are cleaner with depth. Resistivity and neutron-density logs revealed the reservoirs are oil bearing. Structural characterization of seismic date revealed the presence of synthetic and antithetic faults. Depth structure maps generated revealed closures that are anticlinal and fault supported. Oil water contact super-imposed on the structural maps revealed closures that were oil bearing. Estimation of stock tank oil initially in place revealed 19.511 mmstb, 73.576 mmstb and 19.169 mmstb for J100, K100 and L100 reservoirs respectively, indicate that they can be produced at significant profits. Two infill well placement locations were identified from petrophysical and structural characterization; one at the north central part of J100 reservoir and another at the North-Western part of K100 reservoir.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Seismic reservoir characterization"

1

Luca, Gheorghe. "Toward high definition reservoir characterization." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2175.

Full text
Abstract:
Thesis (M.S.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains xi, 149 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 118-124).
APA, Harvard, Vancouver, ISO, and other styles
2

Artun, F. Emre. "Reservoir characterization using intelligent seismic inversion." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4185.

Full text
Abstract:
Thesis (M.S.)--West Virginia University, 2005.
Title from document title page. Document formatted into pages; contains xii, 82 p. : ill. (some col.), maps (some col.). Includes abstract. Includes bibliographical references (p. 80-82).
APA, Harvard, Vancouver, ISO, and other styles
3

Al-Moqbel, Abdulrahman Mohammad Saleh 1974. "Reservoir characterization using seismic reflectivity and attributes." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/51665.

Full text
Abstract:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 2002.
Includes bibliographical references (leaves 81-82).
The primary objective of this thesis is to obtain reservoir properties, such as porosity from surface seismic data complemented by available well logs. To accomplish this a two-step procedure is followed. First, reflectivity and acoustic impedance profiles are obtained from the inversion of post-stack seismic data. Second, a multi-attribute analysis, calibrated using well logs, is used to obtain porosity. This procedure is applied to a 40x40 sq. km field data set from the eastern region of Saudi Arabia. The 3-D seismic data are of good quality. Twenty-one wells have a good suite of logs. The analysis is focused on the reflections from the reservoir. The outcome of the thesis is an improved subsurface image of the seismic data, a porosity prediction for the reservoir, and a reservoir quality map obtained by similarity analysis using one of the wells as reference.
by Abdulrahman Mohammad Saleh Al-Moqbel.
S.M.
APA, Harvard, Vancouver, ISO, and other styles
4

Sun, Zandong. "Seismic methods for heavy oil reservoir monitoring and characterization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0033/NQ38510.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Lai, Hung-Liang. "Seismic modeling of complex stratified reservoirs." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1322.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Marroquín, Herrera Iván Dimitri. "Reservoir characterization through the application of seismic attributes : multiattribute and unsupervised seismic facies analyses." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=95679.

Full text
Abstract:
Seismic attributes are a descriptive and quantifiable characteristic of seismic data, and so they represent subsets of the total information contained in the original seismic data. Consequently, seismic attrjbutes can be important qualitative and quantitative predictors of physical reservoir properties. Seismic attribute analysis began with the search for bright spots in the late 1960s and early 1970s. Subsequent work in the last decades has established seismic attribute analysis as a valuable tool in reservoir characterization studies. I present in this thesis two seismic attribute analyses for the interpretation of the characteristics of the seismic trace to predict significant geological features (e.g., lithology, rock properties and/or fluid content). The first study is an example of the applicability of seismic attributes to predict geologic controls on production data in a coal bed methane reservoir. Based on the calibration of log data with seismic data procedure, I defined a window of analysis, from which I computed amplitude, frequency and phase related attributes. Then, I used a quantitative multiattribute analysis to derive a seismic attribute-based model that predicts coal thickness. Thereafter, I used with a curvature attribute analysis with the objective to map subtle structural features and predict areas with enhanced permeability. The integration of production data with results achieved from both attribute analyses indicates that best production is associated with thicker coal and the immediate vicinity to seismically defined structures. [...]
Les attributs sismiques ont comme caractéristique de pouvoir décrire et quantifier les données sismiques, de telle manière qu’ils représentent un sous-ensemble de l’information totale contenue dans les données originales. En conséquence, les attributs sismiques peuvent être d’importants paramètres qualitatifs et quantitatifs des propriétés physiques d’un réservoir. L’analyse d’attributs sismiques a commencé avec la prospection de tâches lumineuses (<< bright spots >>) vers la fin des années 1960 et début des années 1970. Des travaux subséquents pendant les dernières décennies ont permis d’établir l’analyse d’attributs sismiques comme un outil valable lors d’études de caractérisation d’un réservoir. Je présente dans cette thèse deux études d’attributs sismiques pour l’interprétation de la forme de la trace sismique afin de prédire des caractéristiques géologiques significatives tels que: la lithologie, les propriétés des roches et/ou le contenu liquide. La première étude est un exemple de l’application d’attributs sismiques pour prédire des contrôles géologiques sur la production d’un réservoir coalbed methane. D’après les résultats de la calibration des diagraphies au câble avec des données sismiques, j’ai défini une fenêtre d’investigation à partir de laquelle des attributs sismiques de type amplitude, fréquence et phase ont été calculés. J’ai utilisé une analyse muIti-attribut pour dériver un model statistique dans le but d’estimer l’épaisseur du réservoir. Par la suite, j’ai utilisé des attributs mesurant la courbature d’une surface pour mettre en relief de subtiles structures géologiques et prédire les régions dans le réservoir avec une perméabilité augmentée. L’intégration des données de production avec les résultats obtenus lors d’analyses d’attributs sismiques indique que la meilleure production est en association avec l’épaississement du réservoir et le voisinage immédiat de structures géologiques. [...]
APA, Harvard, Vancouver, ISO, and other styles
7

Shams, Asghar. "Application and implementation of seismic azimuthal anisotropy for reservoir characterization." Thesis, Heriot-Watt University, 2004. http://hdl.handle.net/10399/351.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Spikes, Kyle Thomas. "Probabilistic seismic inversion based on rock-physics models for reservoir characterization /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kvam, Øyvind. "Pore pressure estimation from single and repeated seismic data sets." Doctoral thesis, Norwegian University of Science and Technology, Department of Petroleum Engineering and Applied Geophysics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-509.

Full text
Abstract:

Høye poretrykk utgjør en risiko for boreoperasjoner på Norsk Sokkel og internasjonalt. Denne risikoen kan reduseres dersom man har kjennskap til poretrykksforholdene før boring. Poretrykk er også en viktig parameter for felt i produksjon, og kunnskap om hvordan dette utvikler seg over tid vil kunne ha stor betydning for økt oljeutvinning. Seismiske data inneholder informasjon om poretrykket og kan derfor bidra til økt kunnskap på dette området. Avhandlingen tar for seg hvordan hastighets- og amplitudeinformasjon fra seismiske data kan brukes for å estimere poretrykk.


Abnormally high pore pressures in the subsurface pose a hazard to drilling operations worldwide. The problem is not unusual on the Norwegian Continental Shelf. Knowledge of the pore pressure prior to drilling may reduce the risk related to drilling in high pressure zones. Pore pressure is also a vital paramter for producinig fields, and knowledge of how the pressure develops over time can be important for increased oil recovery. Seismic data contain information on the pore pressure and may contribute to increased understanding of subsurface pressure conditions. The thesis deals with methods for estimation of pressure from seismic velocity and amplitude data.

APA, Harvard, Vancouver, ISO, and other styles
10

Will, Robert A. "The integration of seismic anisotropy and reservoir performance data for characterization of naturally fractured reservoirs using discrete feature network models." Texas A&M University, 2004. http://hdl.handle.net/1969.1/542.

Full text
Abstract:
This dissertation presents the development of a method for quantitative integration of seismic (elastic) anisotropy attributes with reservoir performance data as an aid in characterization of systems of natural fractures in hydrocarbon reservoirs. This new method incorporates stochastic Discrete Feature Network (DFN) fracture modeling techniques, DFN model based fracture system hydraulic property and elastic anisotropy modeling, and non-linear inversion techniques, to achieve numerical integration of production data and seismic attributes for iterative refinement of initial trend and fracture intensity estimates. Although DFN modeling, flow simulation, and elastic anisotropy modeling are in themselves not new technologies, this dissertation represents the first known attempt to integrate advanced models for production performance and elastic anisotropy in fractured reservoirs using a rigorous mathematical inversion. The following new developments are presented: . • Forward modeling and sensitivity analysis of the upscaled hydraulic properties of realistic DFN fracture models through use of effective permeability modeling techniques. . • Forward modeling and sensitivity analysis of azimuthally variant seismic attributes based on the same DFN models. . • Development of a combined production and seismic data objective function and computation of sensitivity coefficients. . • Iterative model-based non-linear inversion of DFN fracture model trend and intensity through minimization of the combined objective function. This new technique is demonstrated on synthetic models with single and multiple fracture sets as well as differing background (host) reservoir hydraulic and elastic properties. Results on these synthetic control models show that, given a well conditioned initial DFN model and good quality field production and seismic observations, the integration procedure results in convergence of both fracture trend and intensity in models with both single and multiple fracture sets. Tests show that for a single fracture set convergence is accelerated when the combined objective function is used as compared to a similar technique using only production data in the objective function. Tests performed on multiple fracture sets show that, without the addition of seismic anisotropy, the model fails to converge. These tests validate the importance of the new process for use in more realistic reservoir models.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Seismic reservoir characterization"

1

Sukmono, Sigit. Seismic inversion & AVO analysis for reservoir characterization. Bandung: Lab. of Reservoir Geophysics, Dept. of Geophysics Engineering, FIKTM, Institut Teknologi Bandung, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sukmono, Sigit. Seismic inversion & AVO analysis for reservoir characterization. Bandung: Lab. of Reservoir Geophysics, Dept. of Geophysics Engineering, FIKTM, Institut Teknologi Bandung, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Doyen, Philippe. Seismic Reservoir Characterization: An Earth Modelling Perspective (EET 2). EAGE Publications bv, 2007. http://dx.doi.org/10.3997/9789073781771.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Doyen, Philippe. ebook - Seismic Reservoir Characterization: An Earth Modelling Perspective (EET 2). EAGE Publications bv, 2014. http://dx.doi.org/10.3997/9789462820234.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Surface Wave Methods For Nearsurface Site Characterization. CRC Press, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Surface Wave Methods for near-Surface Site Characterization. Taylor & Francis Group, 2017.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Seismic reservoir characterization"

1

Kumar, Dhananjay. "Seismic Reservoir Characterization." In Encyclopedia of Solid Earth Geophysics, 1–6. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-10475-7_244-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kumar, Dhananjay. "Seismic Reservoir Characterization." In Encyclopedia of Solid Earth Geophysics, 1487–92. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_244.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Ma, Y. Z. "Seismic Data Analytics for Reservoir Characterization." In Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling, 277–99. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17860-4_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Beydoun, W. B. "Reservoir Characterization from Crosshole Seismic: New Directions." In North Sea Oil and Gas Reservoirs—II, 115–24. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0791-1_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Sønneland, L., and O. Barkved. "Use of Seismic Attributes in Reservoir Characterization." In North Sea Oil and Gas Reservoirs—II, 125–28. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0791-1_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Vasudevan, K. "Advanced Seismic Reservoir Characterization of Carbonate Reservoirs: A Case Study." In Petro-physics and Rock Physics of Carbonate Reservoirs, 191–205. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1211-3_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kim, Chul-Sung. "New Uncertainty Measures for Predicted Geologic Properties from Seismic Attribute Calibration." In Soft Computing for Reservoir Characterization and Modeling, 465–80. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1807-9_18.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Widarsono, Bambang, Suprajitno Munadi, and Fakhriyadi Saptono. "Application of Neural Networks in Determining Petrophysical Properties from Seismic Survey." In Soft Computing for Reservoir Characterization and Modeling, 35–55. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1807-9_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Thadani, Suresh G. "Reservoir Characterization with Seismic Data Using Pattern Recognition and Spatial Statistics." In Quantitative Geology and Geostatistics, 519–42. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1739-5_41.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Allred, R. D., and E. Poggiagliolmi. "Wavelet Processing by Integration of Well and 3D Seismic Data and its Application to Reservoir Characterization of the Heidrun Field." In North Sea Oil and Gas Reservoirs — III, 95–107. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0896-6_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Seismic reservoir characterization"

1

Berkhout, A. J. "Seismic Reservoir Characterization." In 3rd International Congress of the Brazilian Geophysical Society. European Association of Geoscientists & Engineers, 1993. http://dx.doi.org/10.3997/2214-4609-pdb.324.1522.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Scott Burns, C. "Seismic Reservoir Characterization." In 6th International Congress of the Brazilian Geophysical Society. European Association of Geoscientists & Engineers, 1999. http://dx.doi.org/10.3997/2214-4609-pdb.215.sbgf401.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Collins, L., I. Martin, and T. Tylor-Jones. "Reservoir Characterisation in Offshore Gulf of Thailand: Distinguishing Reservoir Sands Through Elastic Inversion." In Seismic Driven Reservoir Characterization and Production Management. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412290.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sams, M., and D. Saussus. "Rock Physics Constraints on Seismic Inversion." In Seismic Driven Reservoir Characterization and Production Management. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412304.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Prajapati, S., and D. Ghosh. "Application of Attribute for Seismic Phase Detector." In Seismic Driven Reservoir Characterization and Production Management. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412282.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Khaw, L., C. Wong, E. Lee, M. Angelatos, and G. Warrlich. "Extracting More out of Legacy Marine Seismic." In Seismic Driven Reservoir Characterization and Production Management. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412298.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

pivot, F., and L. Pernia. "Integrating Fully Stochastic Seismic Inversion in Geomodels." In Seismic Driven Reservoir Characterization and Production Management. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412315.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Konuk, T., and A. R. Ghazali. "Focusing Inversion Based Spectral Analysis for Reservoir Characterization." In Seismic Driven Reservoir Characterization and Production Management. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412284.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

S. A Rahman, A., B. M. Arshin, A. R. Ghazali, and M. A. Ishak. "Hybrid Seismic Waveform Classification: Technique and Additional Features." In Seismic Driven Reservoir Characterization and Production Management. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412283.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Prajapati, S., and D. Ghosh. "Full Seismic Waveform Inversion Algorithm for Gas Cloud." In Seismic Driven Reservoir Characterization and Production Management. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412303.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Seismic reservoir characterization"

1

Joel Walls, M.T. Taner, Naum Derzhi, Gary Mavko, and Jack Dvorkin. SEISMIC ATTENUATION FOR RESERVOIR CHARACTERIZATION. Office of Scientific and Technical Information (OSTI), December 2003. http://dx.doi.org/10.2172/834365.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Joel Walls, M.T. Taner, Naum Derzhi, Gary Mavko, and Jack Dvorkin. SEISMIC ATTENUATION FOR RESERVOIR CHARACTERIZATION. Office of Scientific and Technical Information (OSTI), October 2003. http://dx.doi.org/10.2172/834391.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Joel Walls, M.T. Taner, Naum Derzhi, Gary Mavko, and Jack Dvorkin. SEISMIC ATTENUATION FOR RESERVOIR CHARACTERIZATION. Office of Scientific and Technical Information (OSTI), April 2003. http://dx.doi.org/10.2172/834400.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Joel Walls, M.T. Taner, Naum Derzhi, Gary Mavko, and Jack Dvorkin. SEISMIC ATTENUATION FOR RESERVOIR CHARACTERIZATION. Office of Scientific and Technical Information (OSTI), April 2003. http://dx.doi.org/10.2172/834449.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Joel Walls, M.T. Taner, Gary Mavko, and Jack Dvorkin. SEISMIC ATTENUATION FOR RESERVOIR CHARACTERIZATION. Office of Scientific and Technical Information (OSTI), July 2002. http://dx.doi.org/10.2172/834452.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Joel Walls, M.T. Taner, Gary Mavko, and Jack Dvorkin. SEISMIC ATTENUATION FOR RESERVOIR CHARACTERIZATION. Office of Scientific and Technical Information (OSTI), January 2002. http://dx.doi.org/10.2172/834456.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Joel Walls, M.T. Taner, Gary Mavko, and Jack Dvorkin. SEISMIC ATTENUATION FOR RESERVOIR CHARACTERIZATION. Office of Scientific and Technical Information (OSTI), April 2002. http://dx.doi.org/10.2172/834454.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Joel Walls, M.T. Taner, Naum Derzhi, Gary Mavko, and Jack Dvorkin. SEISMIC ATTENUATION FOR RESERVOIR CHARACTERIZATION. Office of Scientific and Technical Information (OSTI), October 2002. http://dx.doi.org/10.2172/834450.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Turpening, R. Reservoir characterization by crosshole seismic imaging. Office of Scientific and Technical Information (OSTI), June 1992. http://dx.doi.org/10.2172/7278399.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Pennington, Wayne D., Horacio Acevedo, Aaron Green, Shawn Len, Anastasia Minavea, James Wood, and Deyi Xie. Calibration of Seismic Attributes for Reservoir Characterization. Office of Scientific and Technical Information (OSTI), January 2002. http://dx.doi.org/10.2172/790863.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Seismic reservoir characterization' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography