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Reservoir modeling

About: Reservoir modeling is a research topic. Over the lifetime, 5746 publications have been published within this topic receiving 62195 citations.


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Journal ArticleDOI
TL;DR: In this article, statistical rock physics techniques combined with seismic information can be used to classify reservoir lithologies and pore fluids, and the methods were applied to a North Sea turbidite system.
Abstract: Reliably predicting lithologic and saturation heterogeneities is one of the key problems in reservoir characterization. In this study, we show how statistical rock physics techniques combined with seismic information can be used to classify reservoir lithologies and pore fluids. One of the innovations was to use a seismic impedance attribute (related to the VP/VS ratio) that incorporates far‐offset data, but at the same time can be practically obtained using normal incidence inversion algorithms. The methods were applied to a North Sea turbidite system. We incorporated well log measurements with calibration from core data to estimate the near‐offset and far‐offset reflectivity and impedance attributes. Multivariate probability distributions were estimated from the data to identify the attribute clusters and their separability for different facies and fluid saturations. A training data was set up using Monte Carlo simulations based on the well log—derived probability distributions. Fluid substitution by Ga...

230 citations

Book
21 Aug 2002
TL;DR: In this article, the authors present a transient analysis of gas well-test results and their interpretation in terms of well-bore conditions, boundary configurations, and well-ground conditions.
Abstract: /homepage/sad/books/welltest/errata.html. Preface. Online Complement: /homepage/sad/books/welltest. 1. Principles of Transient Testing. 1.1 Introduction. 1.2 Typical flow regimes. 1.3 Well and reservoir characterization. 2. The Analysis Methods. 2.1 Log-log scale. 2.2 Pressure curves analysis. 2.3 Pressure derivative. 2.4 The analysis scales. 3. Wellbore Conditions. 3.1 Well with wellbore storage and skin. 3.2 Infinite conductivity or uniform flux vertical fracture. 3.3 Finite conductivity vertical fracture. 3.4 Well in partial penetration. 3.5 Slanted well. 3.6 Horizontal well. 3.7 Skin factors. 4. Effect of Reservoir Heterogeneities on Well Responses. 4.1 Fissured reservoirs. 4.2 Layered reservoirs with or without crossflow. 4.3 Composite reservoirs. 4.4 Combined reservoir heterogeneities. 5. Effect of Reservoir Boundaries on Well Responses. 5.1 Single sealing fault in a homogeneous reservoir. 5.2 Two parallel sealing faults in homogeneous reservoir. 5.3 Two intersecting sealing faults in homogeneous reservoir. 5.4 Closed homogeneous reservoir. 5.5 Constant pressure boundary. 5.6 Communicating fault. 5.7 Effect of boundaries in double porosity reservoirs. 5.8 Effect of boundaries in double permeability reservoirs. 5.9 Effect of boundaries in composite reservoirs. 5.10 Other boundary configurations. 5.11 Conclusion. 6. Multiple Well Testing. 6.1 Interference tests in reservoirs with homogeneous behavior. 6.2 Factors complicating interference tests in reservoirs with homogeneous behavior. 6.3 Interference tests in composite reservoirs. 6.4 Interference tests in double porosity reservoirs. 6.5 Interference tests in layered reservoirs. 6.6 Pulse testing. 6.7 Conclusion. 7. Application to Gas Reservoirs. 7.1 Description of gas wells pressure behavior. 7.2 Practical transient analysis of gas welltests. 7.3 Deliverability tests. 7.4 Field example. 8. Application to Multiphase Reservoirs. 8.1 Perrine's method. 8.2 Pseudo-pressure method. 8.3 Pressure squared method. 9. Special Tests. 9.1 DST. 9.2 Impulse test. 9.3 Constant pressure test, and rate decline analysis. 9.4 Vertical interference test. 10. Practical Aspects of Well Test Interpretation. 10.1 Factors complicating well test analysis. 10.2 Interpretation procedure. 10.3 Well and reservoir characterisation- interpretation results. Appendix 1. Summary of Usual Log-Log Responses. Appendix 2. Practical Metric System of Units. Nomenclature. References. Author Index. Subject Index.

222 citations

Proceedings ArticleDOI
TL;DR: In this article, two geoatatistical methods, "external drift" and "collocated cokrigingfi", are proposed to integrate the two sources of information, depth data from wells and geophysical measurements from seismic surveys, for modeling the top of a structure.
Abstract: The two sources of information commonly available for modeling the top of a structure, depth data from wells and geophysical measurements from seismic surveys, are often Miicult to integrate. W bile, the well data provide t he most accurate measurements of depths there are rarely enough wells to permit an accurate appraisal from well data alone. On the other hand, the seismic data are generally less precise but more abundant. Two geoatatistical methods, “external drift~ and “collocated cokrigingfi, are proposed to integrate the two sources of information. A case study is used to document the strengths and weaknesses of both approaches for constructing contour maps cf the top structure and assessing the uncertainty on such maps through stochastic simulations.

216 citations

Book
10 Sep 2004
TL;DR: In this paper, the authors present an approach for predicting the performance of conventional and unconventional gas reservoirs. But their approach is limited to two stages: phase 1.1 Phase 1.2 Phase 2.3 Phase 3.4 Phase 4.5 Tracys Form of the MBE 5.1.
Abstract: 1. Well Testing Analysis 1.1 Primary Reservoir Characteristics 1.2 Fluid Flow Equations 1.3 Transient Well Testing 1.4 Type Curves 1.5 Pressure Derivative Method 1.6 Interference and Pulse Tests 1.7 Injection Well Testing 2. Water Influx 2.1 Classification of Aquifers 2.2 Recognition of Natural Water Influx 2.3 Water Influx Models 3. Unconventional Gas Reservoirs 3.1 Vertical Gas Well Performance 3.2 Horizontal Gas Well Performance 3.3 Material Balance Equation for Conventional and Unconventional Gas Reservoirs 3.4 Coalbed Methane CBM 3.5 Tight Gas Reservoirs 3.6 Gas Hydrates 3.7 Shallow Gas Reservoirs 4. Performance of Oil Reservoirs 4.1 Primary Recovery Mechanisms 4.2 The Material Balance Equation 4.3 Generalized MBE 4.4 The Material Balance as an Equation of a Straight Line 4.5 Tracys Form of the MBE 5. Predicting Oil Reservoir Performance 5.1 Phase 1. Reservoir Performance Prediction Methods 5.2 Phase 2. Oil Well Performance 5.3 Phase 3. Relating Reservoir Performance to Time 6. Introduction to Oil Field Economics 6.1 Fundamentals of Economic Equivalence and Evaluation Methods 6.2 Reserves Definitions and Classifications 6.3 Accounting Principles References Index

215 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023152
2022372
2021221
2020254
2019273
2018303