This book outlines the scientific, methodological and practical foundations for applying High Resolution Seismic HRS-Geo Technology in order to build detailed 2D and 3D seismic acoustic models in the form of acoustic impedances (AI) and reflection coefficients (RC) and the most important geological indicators. The monograph is a continuation of the book by the same authors "Oil and Gas Reservoir Prospecting and Exploration: High-Resolution Seismic HRS techniques and technology". Particular attention is paid to improving the process of searching for AI and RC models using the vector of…mehr
This book outlines the scientific, methodological and practical foundations for applying High Resolution Seismic HRS-Geo Technology in order to build detailed 2D and 3D seismic acoustic models in the form of acoustic impedances (AI) and reflection coefficients (RC) and the most important geological indicators. The monograph is a continuation of the book by the same authors "Oil and Gas Reservoir Prospecting and Exploration: High-Resolution Seismic HRS techniques and technology". Particular attention is paid to improving the process of searching for AI and RC models using the vector of objective functions, in which various types of residuals between real and model data are iteratively calculated. The well-known criteria for predicting the oil and gas potential of productive deposits from the standpoint of the system analysis principles and the set of geological indicators found from the HRS data are analyzed. The features of solving the main seismogeological problems using HRS-Geo Technology modules are shown, illustrated by numerous examples, and using a special (optimal) processing graph and a set of additional seismic record regularization procedures that provide maximum detail of high-resolution seismic data. The book is meant for scientists and specialists involved in in-depth complex geological interpretation of seismic data in the search and exploration of oil and gas deposits, as well as students of geophysical and geological specialties, graduate students of these specializations and developers.
Vladimir L. Trofimov graduated from the Oktyabrsk Oil Technical College (Russia), Vakhrushev Sverdlovsk Mining Institute (SMI, Russia) and full-time postgraduate study at the Faculty of Geology of Lomonosov Moscow State University (MSU, Russia). In 1977, he received a PhD degree in Geology and Mineralogy, specializing in Seismic Exploration of Heterogeneous Media. He is one of the developers of high-resolution seismic technology (HRS-Geo technology), the author of 95 scientific publications and more than 60 scientific and methodological reports on the integrated interpretation of seismic observations and well logging data. Fanil' F. Khaziev is the author and developer of high-resolution seismic technology (HRS-Geo Technology). He graduated from Lomonosov Moscow State University (MSU, Russia) as a geologist-geophysicist. Fanil' took part in the projects of various geological and geophysical companies. He is an author of more than 50 scientific publications. Alisa V. Trofimova graduated from the Faculty of Mechanics and Mathematics of the Lomonosov Moscow State University (MSU, Russia) and continued her research at the Rensselaer Polytechnic Institute (RPI, USA). She has a PhD degree in Mechanical Engineering, specializing in mechanics of liquid, gas, multiphase media. She is the author of more than 10 scientific publications.
Inhaltsangabe
Chapter 1: Optimization of The Medium Model in Solving the Inverse Dynamic Problem of Seismics in the HRS-GEO Technology Based on the Spectral Characteristics of Seismic Data.- Chapter 2: Experimental Evaluation of Information Content Regarding the Resolution of the Wave Field and the Choice of Basic Parameters for Solving the Inverse Dynamic Problem of Seismics.- Chapter 3: Features of Integrated Dynamic Interpretation of High Resolution Acoustic Characteristics and Geological Indicators of the Real Environment.- Chapter 4: Wells Data Geophysical Research Interpretation Features.- Chapter 5: Detail Interpretation of High Resolution Seismic Data Timan-Pechora Province.
Chapter 1: Optimization of The Medium Model in Solving the Inverse Dynamic Problem of Seismics in the HRS-GEO Technology Based on the Spectral Characteristics of Seismic Data.- Chapter 2: Experimental Evaluation of Information Content Regarding the Resolution of the Wave Field and the Choice of Basic Parameters for Solving the Inverse Dynamic Problem of Seismics.- Chapter 3: Features of Integrated Dynamic Interpretation of High Resolution Acoustic Characteristics and Geological Indicators of the Real Environment.- Chapter 4: Wells Data Geophysical Research Interpretation Features.- Chapter 5: Detail Interpretation of High Resolution Seismic Data Timan-Pechora Province.
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