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Full Description
This book presents materials on the further improvement and application of this technology in order to create optimal sections and cubes for AI and RC acoustic heterogeneities in a real environment, with high resolution, and the most probable distribution of geological parameters of the medium such as clay content, sandiness, porosity, water saturation, effective and oil-saturated thickness, density of hydrocarbon distribution within the interval of productive formation occurrence, and so on.
Particular attention is given to the analysis of the fundamental works of Russian and foreign researchers, theoretical mathematicians, and geophysicists who contribute significantly to solving complex seismic exploration problems that can be difficult to solve numerically, such as solving multidimensional inverse problems in theoretical seismology. A brief analysis of these works is provided in accordance with the results obtained from the application of HRS-Geo, which are characterized by their effectiveness in solving specific geological issues using effective RC and AI values.
Issues related to solving the inverse dynamic seismic problem by optimization using a vector of objective functions and complex interpretation of high resolution seismic data operating a large volume of HRS and WL materials and most likely geological indicator distributions, including lithological composition and reservoir properties, oil and gas saturation are addressed. When studying well sections, known principles of continuous functional transformation of WL data to information systems are applied.
The book is intended for researchers and professionals involved in-depth geological interpretation of seismic data and studies of oil and gas deposit structures, students of geophysics and geology, graduate students in these fields, and developers.
