By Islam, Rafiqul
This moment version of the unique quantity provides major new thoughts for revolutionizing the techniques and techniques utilized in petroleum reservoir simulations. With the appearance of shale drilling, hydraulic fracturing, and underbalanced drilling has come a digital renaissance of clinical methodologies within the oil and fuel industry. New methods of pondering are being pioneered, and Dr. Islam and his staff have, for years now, been on the leading edge of those very important changes.
This e-book clarifies the underlying arithmetic and physics at the back of reservoir simulation and makes it effortless to have more than a few simulation effects in addition to their respective probability. This makes the chance research in line with wisdom instead of bet work. The booklet bargains by means of some distance the most powerful instrument for engineers and bosses to again up reservoir simulation predictions with genuine science. The ebook provides transparency and simplicity to the method of reservoir simulation in manner by no means witnessed earlier than. eventually, No different ebook offers readers whole entry to the 3D, 3-phase reservoir simulation software program that's on hand with this text.
A must-have for any reservoir engineer or petroleum engineer operating upstream, even if in exploration, drilling, or construction, this article is additionally a important textbook for complex scholars and graduate scholars in petroleum or chemical engineering departments.
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Additional info for Advanced petroleum reservoir simulation: towards developing reservoir emulators
Thus the conductivity of a rock mass depends on the entire network within the particular rock mass and is thus governed by the connectivity of the network and the conductivity of the single fractures. The total conductivity of a rock mass depends also on the contribution of matrix conductivity at the same time. A fractured porous medium is defined as a portion of space in which the void space is composed of two parts: an interconnected network of fractures and blocks of porous medium, the entire space within the medium is occupied by one or more fluids.
It is demonstrated that the currently available simulators only address very limited range of solutions for a particular reservoir engineering problem. Examples are provided to show how the Knowledge-based approach extends the currently known solutions and provide one with an extremely useful predictive tool for risk assessment. 2 Opening Remarks Petroleum is still the world’s most important source of energy, and, with all of the global concerns over climate change, environmental standards, cheap gasoline, and other factors, petroleum itself has become a hotly debated topic.
2 Assumptions Behind Various Modeling Approaches Reservoir performance is traditionally predicted using three methods, namely, 1) Analogical; 2) Experimental, and 3) Mathematical. The analogical method consists of using mature reservoir properties that are similar to the target reservoir to predict the behavior of the reservoir. This method is especially useful when there is a limited available data. The data from the reservoir in the same geologic basin or province may be applied to predict the performance of the target reservoir.