By M. Rafiqul Islam, S.H. Mousavizadegan, S. Mustafiz, Jamal H. Abou?Kassem(auth.)
Advanced Petroleum Reservoir Simulation
upload precision and simplicity to the method of reservoir simulation. until eventually simulation software program and different equipment of reservoir characterization have been constructed, engineers needed to drill various wells to discover tips to extract crude oil and typical fuel. at the present time, inspite of hugely subtle reservoir simulations software program on hand, reservoir simulation nonetheless includes loads of guesswork. Advanced Petroleum Reservoir Simulation offers a complicated method of petroleum reservoir simulation, taking the guesswork out of the method and depending extra completely on technological know-how and what's identified in regards to the person reservoir.
This cutting-edge booklet in petroleum simulation:
Describes answer innovations that permit a number of ideas to the total equations, with out linearization.
Solves the main tricky reservoir engineering difficulties akin to viscous fingering.
Highlights the significance of non-linear solvers on choice tree with medical argument.
Discusses answer schemes relating to different disciplines and revolutionizes possibility research and determination making.
contains better half software program with three-D, 3-phase multipurpose simulator code on hand for obtain from www.scrivenerpublishing.com.
by way of delivering a useful instrument to help reservoir simulation predictions with genuine technological know-how, this e-book is an important reference for engineers, scientists and geologists.
Chapter 1 Reservoir Simulation historical past (pages 1–30):
Chapter 2 Reservoir Simulator?input/output (pages 31–81):
Chapter three Reservoir Simulators: difficulties, Shortcomings, and a few answer thoughts (pages 83–114):
Chapter four Mathematical formula of Reservoir Simulation difficulties (pages 115–153):
Chapter five The Compositional Simulator utilizing the Engineering method (pages 155–244):
Chapter 6 A accomplished fabric stability Equation for Oil restoration (pages 245–276):
Chapter 7 Modeling Viscous Fingering in the course of Miscible Displacement in a Reservoir (pages 277–337):
Chapter eight in the direction of Modeling wisdom and Sustainable Petroleum creation (pages 339–419):
Chapter nine ultimate Conclusions (pages 421–422):
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Extra resources for Advanced Petroleum Reservoir Simulations
Numerical instability Stable region Grid too large to capture physics ! 4 The problem with the finite difference approach has been the dependence on grid size and the loss of information due to scaling up (from Islam, 2002). Theoretically, fluid flow in porous medium is understood as the flow of liquid or gas or both in a medium filled with small solid grains packed in homogeneous manner. The concept of heterogeneous porous medium then introduced to indicate properties change (mainly porosity and permeability) within that same solid grains packed system.
Some of the latest ones are reported by the research group of Gu at Petroleum Technology Research Centre (PTRC) in Canada. g. Yang and Gu, 2005; Tharanivasan et al, 2004), proper characterization of such complex phenomena continues to be a formidable challenge. 1 ADVANCED PETROLEUM RESERVOIR SIMULATION Numerical Challenges Theory of Onset and Propagation of Fractures Due to Thermal Stress Fundamental work needs to be performed in order to develop relevant equations for thermal stresses. Similar work has been initiated by Wilkinson et al (1997), who used finite element modeling to solve the problem.
5 Darcy's Law Because practically all reservoir simulation studies involve the use of Darcy's law, it is important to understand the assumptions behind this momentum balance equation. , Klinkenberg phenomenon; • There is no electro-kinetic effect. 4 ADVANCED PETROLEUM RESERVOIR SIMULATION Recent Advances in Reservoir Simulation The recent advances in reservoir simulation may be viewed as: • Speed and accuracy; • New fluid flow equations; • Coupled fluid flow and geo-mechanical stress model; and • Fluid flow modeling under thermal stress.
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