Oil and Gas Reservoir Prospecting and Exploration

ISBN-13: 9783030843915 / Angielski / Miękka / 2023

Vladimir L. Trofimov;Fanil F. Khaziev;Alisa V. Trofimova

Opis

This book discusses topical issues of detailed seismic data interpretation using high-resolution seismic (HRS) techniques, which are based on the numerical method developed by the authors for solving the inverse dynamic seismic problem (IDSP). The authors highlight the range of issues related to the development and application of HRS-Geo technologies on a variety of seismic data, and analyze a significant amount of practical material in various seismic and geological conditions. This analysis allows for the accurate estimation of geological indicators in sediments that are most important for the prediction and exploration of oil and gas deposits, including lithological composition, reservoir properties, and the nature and degree of reservoir rock saturation with fluids. The book is intended for professionals involved in seismic data processing and geological interpretation, students of geophysical and geological specialties, graduate students of these specializations.

Spis treści

Chapter 1-Introduction.- Chapter 2-Seismic modeling of wave field dynamic parameters.- Chapter 3-Methods for solving inverse dynamic seismic problems.- Chapter 4-Processing and automated interpretation of well logging data.- Chapter 5-Elastic wave velocity and gradient fields for heterogeneous geological media.- Chapter 6-Determination of statistical dependencies between geological and geophysical characteristics of the real subsurface environment.- Chapter 7-Detailed interpretation of high-resolution seismic data in various seismic and geological conditions.- Chapter 8-Examples of HRS-Geo technology used in other regions.- Chapter 9-Conclusion. 

O autorze

Vladimir L. Trofimov is the author and developer of high-resolution seismic technology (HRS-Geo Technology) for studying the lithological composition, reservoir properties, the nature and degree of reservoir rocks saturation with fluids, and for the direct detection of oil and gas deposits. Vladimir graduated from the Oktyabrsk Oil Technical College (Russia), Vakhrushev Sverdlovsk Mining Institute (SMI, Russia) and full-time postgraduate study at the Geological Department of the Lomonosov Moscow State University (MSU, Russia). He received a PhD degree in Geology and Mineralogy, specializing in Seismic Exploration of Heterogeneous Media.

He worked in several geological and geophysical organizations of the USSR and Russia, performing seismic, geological and geophysical studies in various regions: Yakutia, Kazakhstan, the Southern Urals, Belarus, Western and Eastern Siberia, European regions of Russia and a number of foreign territories. During his career, Vladimir developed and applied new seismic methods for oil and gas exploration, detailed seismic modeling and well logging. At the Belarusian Research Geological Prospecting Institute (BelNIGRI, Belarus), with his scientific leadership, the studies have been carried out on: forecasting a geological section based on land and borehole seismic data; improving the physical and geological foundations of direct predicting of oil and gas content by geophysical methods; enhancing the methodology of polarization and multiwave seismic investigations, three-component borehole seismic monitoring for predicting man-made earthquakes; application of seismic prospecting for the study of heterogeneous geological environments. At the Central Geophysical Expedition (CGE, Russia) and at HRS-Geo Technology LLC (Russia), he has worked on the application of HRS-Geo Technology in various geological conditions for onshore and offshore oil and gas seismic exploration and 2D and 3D seismic surveys design. His research interests are inverse problems of geophysics, geophysical methods of research, development of high-resolution seismic methods (HRS-Geo Technology) and complex interpretation of well and seismic data. Vladimir is the author of 93 scientific publications and more than 60 scientific and methodological reports on the integrated interpretation of seismic data and well logging. He is the author of a course of a lecture course "Polarization and multiwave seismic exploration".

 

Fanil F. Khaziev is the author and developer of high-resolution seismic technology (HRS-Geo Technology), for studying the lithological composition, reservoir properties, the nature and degree of reservoir rocks saturation, and for the direct detection of oil and gas deposits. He graduated from Lomonosov Moscow State University (MSU, Russia) as a geologist-geophysicist. He has worked on the application of HRS-Geo Technology in various geological conditions for onshore and offshore oil and gas seismic exploration and 2D and 3D seismic surveys design. Fanil worked in the projects of the Polessk Geophysical Expedition of the Geology Department (PGE, Belarus), the Belarusian Research Geological Exploration Institute (BelNIGRI, Belarus), the Central Geophysical Expedition (CGE, Russia), HRS-Geo Technology LLC (Russia), etc. His research interests are seismic inverse dynamic problems, geophysical methods of well research, high-resolution seismic methods development, borehole log and seismic data complex interpretation. Fanil is an author of 69 scientific publications and more than 40 scientific and methodological reports on the integrated interpretation of seismic data and well logging data.

Alisa V. Trofimova is an engineer-mathematician working in the seismic exploration of oil and gas deposits and nuclear energy fields. Alisa holds a dual-major M.S. degree with honors in Mechanics and Applied Mathematics from Lomonosov Moscow State University (MSU, Russia), a M.S. degree in Engineering Physics from Rensselaer Polytechnic Institute (RPI, USA), and a PhD degree in Physics and Mathematics from Lomonosov Moscow State University (MSU, Russia), specializing in Mechanics of Fluids and Gases. Her research interests are computational fluid dynamics, mechanics of multiphase systems, underground hydro mechanics, geophysical research methods. Alisa is an author of 10 scientific publications.