Seismic Reservoir Characterisation of Tyumen Formation in Frolov Megadepression

2021 ◽  
Author(s):  
Anton Grinevskiy ◽  
Irina Kazora ◽  
Igor Kerusov ◽  
Dmitriy Miroshnichenko
Keyword(s):  
Seismic Data ◽  
Middle Jurassic ◽  
Oil And Gas ◽  
Seismic Interpretation ◽  
Hydrocarbon Potential ◽  
3D Seismic ◽  
Geological Modeling ◽  
High Hydrocarbon ◽  
Seismic Reservoir ◽  
3D Seismic Data

Abstract The article discusses the approaches and methods to study the Middle Jurassic deposits of the Tyumen Formation within the Frolov megadepression (West Siberian oil and gas province), which have high hydrocarbon potential. The materials refer to several areas with available 3D seismic data and several dozen oil wells. The problems of seismic interpretation and its application for geological modeling are considered. We also propose several ways to overcome them.

Practical aspects of working with 2D migrated seismic data

2019 ◽  
Vol 7 (3) ◽  
pp. SG1-SG9
Author(s):  
Donald A. Herron ◽  
Timothy E. Smith
Keyword(s):  
Seismic Data ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Essential Elements ◽  
3D Seismic ◽  
Gas Industry ◽  
Out Of Plane ◽  
Exploration And Production ◽  
3D Seismic Data ◽  
Fundamental Limitation

Despite the ever-increasing use of 3D seismic data in today’s exploration and production activities, 2D seismic data continue to play an important role in the oil and gas industry. Interpretations of 2D regional and megaregional surveys are essential elements of integrated exploration programs, establishing frameworks for basin analysis, structural synthesis, and play fairway identification and mapping. When correlating and mapping horizons on 2D migrated seismic data, interpreters use certain practical techniques for handling structural misties, which are caused by the fundamental limitation of 2D migration to account for out-of-plane components of dip.

Indirect Confirmation of Various Hypotheses About the Formation of Oil and Gas According to 3D Seismic Data in Western Siberia

2019 ◽  
Author(s):  
V.N. Borodkin ◽  
A.R. Kurchikov ◽  
V.I. Samitova ◽  
A.V. Lukashov ◽  
A.S. Nedosekin ◽  
...  
Keyword(s):  
Seismic Data ◽  
Western Siberia ◽  
Oil And Gas ◽  
3D Seismic ◽  
3D Seismic Data ◽  
Indirect Confirmation

Imposing interpretational constraints on a seismic interpretation CNN

Geophysics ◽  
2021 ◽  
pp. 1-36
Author(s):  
Haibin Di ◽  
Cen Li ◽  
Stewart Smith ◽  
Zhun Li ◽  
Aria Abubakar
Keyword(s):  
Seismic Data ◽  
Recent Progress ◽  
Facies Analysis ◽  
Three Dimensional ◽  
Seismic Interpretation ◽  
3D Seismic ◽  
Geologic Time ◽  
Seismic Amplitude ◽  
Subsurface Geology ◽  
3D Seismic Data

With the expanding size of three-dimensional (3D) seismic data, manual seismic interpretation becomes time consuming and labor intensive. For automating this process, the recent progress in machine learning, particularly the convolutional neural networks (CNNs), has been introduced into the seismic community and successfully implemented for interpreting seismic structural and stratigraphic features. In principle, such automation aims at mimicking the intelligence of experienced seismic interpreters to annotate subsurface geology both accurately and efficiently. However, most of the implementations and applications are relatively simple in their CNN architectures, which primary rely on the seismic amplitude but undesirably fail to fully use the pre-known geologic knowledge and/or solid interpretational rules of an experienced interpreter who works on the same task. A general applicable framework is proposed for integrating a seismic interpretation CNN with such commonly-used knowledge and rules as constraints. Three example use cases, including relative geologic time-guided facies analysis, layer-customized fault detection, and fault-oriented stratigraphy mapping, are provided for both illustrating how one or more constraints can be technically imposed and demonstrating what added values such a constrained CNN can bring. It is concluded that the imposition of interpretational constraints is capable of improving CNN-assisted seismic interpretation and better assisting the tasks of subsurface mapping and modeling.

Space-time continuum in seismic stratigraphy: Principles and norms

2018 ◽  
Vol 6 (1) ◽  
pp. T97-T108 ◽  
Author(s):  
Farrukh Qayyum ◽  
Christian Betzler ◽  
Octavian Catuneanu
Keyword(s):  
Seismic Data ◽  
Seismic Stratigraphy ◽  
Seismic Interpretation ◽  
Space Time ◽  
Practical Significance ◽  
3D Seismic ◽  
Close Link ◽  
Time Continuum ◽  
3D Seismic Data ◽  
Stratigraphic Succession

Seismic stratigraphy is not only a geometric understanding of a stratigraphic succession, but it also has a close link to the space-time continuum started by H. E. Wheeler (1907–1987). The science follows the fundamental principles of stratigraphy, and the norms that govern seismic interpretation play a fundamental role due to their practical significance. The birth of computer-aided algorithms paved a new platform for seismic interpretation. The ideas from A. W. Grabau (1870–1946) and Wheeler were brought to a new level when space-time continuum was represented using 3D seismic data. This representation is commonly referred to as the Wheeler transformation, and it is based on flattening theories. Numerous algorithms have been introduced. Each suffers from its own problem and follow some assumption. The hydrocarbon industry, as well as academia, should seek a solution that is globally applicable to a stratigraphic succession irrespective of resolution, geologic challenges, and depositional settings. We have developed a review of the principles and norms behind these algorithms assisting in developing the space-time continuum of a stratigraphic succession using 2D/3D seismic data.

GEODYNAMICS

GEODYNAMICS ◽  
2011 ◽  
Vol 2(11)2011 (2(11)) ◽  
pp. 107-109
Author(s):  
V.M. Karpenko ◽  
◽  
Yu. P. Starodub ◽  
O.V. Karpenko ◽  
Ye.O. Basnyev ◽  
...  
Keyword(s):  
Wave Field ◽  
Seismic Data ◽  
Oil And Gas ◽  
Fourier Method ◽  
Well Logging ◽  
Software System ◽  
3D Seismic ◽  
Geological Medium ◽  
Gas Saturation ◽  
3D Seismic Data

Energy-researched analysis of the wave field (ERA-WF) on the example of 3D seismic data Drobyshivska area is investigated. Results of the study are compared with the results of analysis of the wave field, made by the frequency Fourier method, Prony, Gilbert, wavelet functions, and the results of the parametric interpretation of geophysical parameters derived using a software system Petrel. We prove that the ERA-WF summarizes the methods mentioned and allows to determine the geophysical parameters of geological medium (GM) to study it before drilling and well logging concerning oil and gas saturation.

Regional evaluation and hydrocarbon potential of the deep section of the Gulf of Mexico offshore Louisiana continental shelf from modern 3D seismic data

2003 ◽  
Author(s):  
Norman E. Biles ◽  
Andrew E. Hannan ◽  
George A. Jamieson ◽  
Ana Krueger ◽  
Dianna L. Shelander ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Continental Shelf ◽  
Seismic Data ◽  
Hydrocarbon Potential ◽  
3D Seismic ◽  
Louisiana Continental Shelf ◽  
3D Seismic Data
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