Shale Gas and Tight Oil Reservoir Simulation
Auteurs : Yu Wei, Sepehrnoori Kamy
Shale Gas and Tight Oil Reservoir Simulation delivers the latest research and applications used to better manage and interpret simulating production from shale gas and tight oil reservoirs. Starting with basic fundamentals, the book then includes real field data that will not only generate reliable reserve estimation, but also predict the effective range of reservoir and fracture properties through multiple history matching solutions. Also included are new insights into the numerical modelling of CO2 injection for enhanced oil recovery in tight oil reservoirs. This information is critical for a better understanding of the impacts of key reservoir properties and complex fractures.
Dr. Kamy Sepehrnoori is a professor in the Hildebrand Department of Petroleum and Geosystems Engineering at The University of Texas at Austin, where he holds the Texaco Centennial Chair in Petroleum Engineering. His research interest and teaching include computational methods, reservoir simulation, simulation of unconventional reservoirs, enhanced oil recovery modeling, flow assurance modeling, naturally fractured reservoirs, high-performance computing, and CO2 sequestration. He has been teaching at The University of Texas for over 35 years and has graduated more than 230 MS and PhD students under his supervision working mainly in the areas of reservoir simulation and enhanced oil recovery modeling. For the last several years, he has been supervising a research group in simulation of unconventional reservoirs (shale gas and tight oil reservoirs). Sepehrnoori’s research team along with his colleagues have been in charge of development of several compositional reservoir simulators (i.e., UTCOMPRS, UTCHEMRS, and UTGEL). Also, more recently, he supervised the development of a software package for embedded discrete fracture modeling fo
- Models the well performance of shale gas and tight oil reservoirs with complex fracture geometries
- Teaches how to perform sensitivity studies, history matching, production forecasts, and economic optimization for shale-gas and tight-oil reservoirs
- Helps readers investigate data mining techniques, including the introduction of nonparametric smoothing models
Date de parution : 07-2018
Ouvrage de 430 p.
15x22.8 cm
Thème de Shale Gas and Tight Oil Reservoir Simulation :
Mots-clés :
Assisted history-matching workflow; Bakken; BET isotherm; Biwing hydraulic fractures; Bubble point; Capillary pressure; CO2 Huff-n-Puff; Complex fracture geometry; Complex fracture networks; Complex hydraulic fractures; Continuous CO2 injection; Design of experiment; Economic optimization; Embedded discrete fracture model; Enhanced oil recovery; Experimental measurements; Gas desorption; Gas diffusion; Gas slippage; Horizontal drilling; Langmuir isotherm; Local grid refinement; Marcellus shale; Markov chain Monte Carlo; Molecular diffusion; Multi-stage fracturing; Nanopore confinement; Nanopores; Natural fractures; Net present value; Non-neighboring connections; Nonplanar fracture; Original gas in place; Orthogonal fracture networks; Phase behavior; Pressure-dependent fracture conductivity; Production forecasting; Proppant distribution; Proxy model; Response surface methodology; Sensitivity analysis; Shale gas; Tight oil; Uncertainty quantification; Well interference
