New PDF release: Advanced Petroleum Reservoir Simulations

By M. Rafiqul Islam, S.H. Mousavizadegan, S. Mustafiz, Jamal H. Abou?Kassem(auth.)

ISBN-10: 0470625813

ISBN-13: 9780470625811

ISBN-10: 0470650680

ISBN-13: 9780470650684

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 built, engineers needed to drill quite a few wells to discover tips to extract crude oil and usual fuel. this present day, regardless of hugely refined reservoir simulations software program to be had, reservoir simulation nonetheless comprises loads of guesswork. Advanced Petroleum Reservoir Simulation presents 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 state-of-the-art ebook in petroleum simulation:

  • Describes answer concepts that permit a number of suggestions to the entire equations, with out linearization.

  • Solves the main tricky reservoir engineering difficulties resembling viscous fingering.

  • Highlights the significance of non-linear solvers on determination tree with medical argument.

  • Discusses answer schemes relating to different disciplines and revolutionizes hazard research and choice making.

  • comprises significant other software program with three-D, 3-phase multipurpose simulator code on hand for obtain from

  • via offering a important instrument to aid reservoir simulation predictions with genuine technological know-how, this publication is a vital reference for engineers, scientists and geologists.

Chapter 1 Reservoir Simulation history (pages 1–30):
Chapter 2 Reservoir Simulator?input/output (pages 31–81):
Chapter three Reservoir Simulators: difficulties, Shortcomings, and a few resolution innovations (pages 83–114):
Chapter four Mathematical formula of Reservoir Simulation difficulties (pages 115–153):
Chapter five The Compositional Simulator utilizing the Engineering procedure (pages 155–244):
Chapter 6 A entire 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 construction (pages 339–419):
Chapter nine ultimate Conclusions (pages 421–422):

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Additional resources for Advanced Petroleum Reservoir Simulations

Example text

This geological model represents all major geological features that may affect the connectivity of the reservoir. This stage of reservoir studies comes out with a geological framework of the structure and reservoir architecture from the different sources of measurement mainly from the seismic data. ) should be viewed only as a means to construct a reliable model of the reservoir rock in the subsurface. ) that are likely to affect the connectivity of the reservoir. The distribution of the reservoir- and non-reservoir-rock types and of the reservoir fluids determine the geometry of the model and influence the type of the model to be used.

Nguyen (1986) has showed that using standard Darcy flow analysis in some circumstances can over-predict the productivity by as much as 100 percent. Fracture can be defined as any discontinuity in a solid material. In geological terms, a fracture is any planar or curvy-planar discontinuity that has formed as a result of a process of brittle deformation in the earth's crust. Planes of weakness in rock respond to changing stresses in the earth's crust by fracturing in one or more different ways depending on the direction of the maximum stress and the rock type.

A detailed analysis indicates that for an accurate reservoir engineering analysis, geostatistical models should have information of 1 m scale. This is the only scale that would satisfy the representative elemental volume (REV) requirement of an enhanced oil recovery (EOR) system. This scale length is orders of magnitude higher than that of core samples and at least an order of magnitude lower than the conventional seismic data. This data gap constitutes the weakest link between geophysical information and reservoir engineering (Islam, 2001).

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Advanced Petroleum Reservoir Simulations by M. Rafiqul Islam, S.H. Mousavizadegan, S. Mustafiz, Jamal H. Abou?Kassem(auth.)

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