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Automatic seismic facies interpretation using supervised deep learning

, 2020
Seismic facies interpretation supports subsurface geologic environment analyses and reservoir predictions. Traditional interpretation methods require much manual work, and they heavily depend on the experience and expertise of the interpreters.
Haoran Zhang   +4 more
semanticscholar   +1 more source

Porosity interpretation through seismics

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1991
Abstract This paper describes a procedure for porosity interpretation from seismic data (POISE) by exploiting merits of several recent advances in seismic data processing and interpretation. Briefly, the procedure is as follows: starting from NMO corrected CDP gathers of P-wave data and applying amplitude versus offset (AVO) analysis, one can ...
C.H. Mehta, B.M. Verma
openaire   +3 more sources

Seismic Fault Interpretation Using Deep Learning-Based Semantic Segmentation Method

IEEE Geoscience and Remote Sensing Letters, 2020
Seismic fault detection is indispensable for exploring reservoirs of hydrocarbons, and a considerable amount of research has thus been devoted to it. With the rapid development of deep learning in recent years, researchers have begun using convolutional ...
Guang Hu   +4 more
semanticscholar   +1 more source

Seismic graph analysis to aid seismic interpretation

Interpretation, 2019
During the seismic interpretation process, geoscientists rely on their experience and visual analysis to assess the similarity between seismic sections. However, evaluating all of the seismic sections in a 3D survey can be a time-consuming task. When interpreters are working on a data set, a common procedure is to divide the cube in increasingly finer ...
Reinaldo Silva   +3 more
openaire   +2 more sources

Pitfalls in Seismic Interpretation

1973
Abstract “He that diggeth a pit shall fall into it” - Ecclesiastes 10:8 Many pitfalls in seismic interpretation are concealed within seemingly straightforward reflections. But these can be avoided. They can be classified into three groups: those caused by velocity, those due to the geometry of the reflector, and those resulting from recording and ...
Howard J. Yorston, Paul M. Tucker
openaire   +2 more sources

Seismic interpretation in the 1990s

The Leading Edge, 1998
A fairly safe bet (in other words, you couldn’t get Las Vegas to make a line on it) is that most people embarking on a career in applied geophysics will spend most, if not all, of it interpreting seismic data and that this will come as a surprise to the vast majority of them.
openaire   +2 more sources

Seismic interpretation of reefs

The Leading Edge, 1987
In the early years of exploration — the 1920s (when oil discoveries were made in the Mississippian formations of Turner Valley) — the Devonian formations of the western Canadian sedimentary basin presented a dilemma. They were not accessible beneath the Turner Valley discoveries because of depth and, where they were shallow, they were not accessible ...
openaire   +2 more sources

Amplitude volume technique attributes and multidimensional seismic interpretation

, 2017
Seismic attribute applications and their visualization provide dynamic tools to the seismic interpreter for gaining more insight into data being analyzed.
L. Vernengo   +3 more
semanticscholar   +1 more source

Tectonics and Seismic Interpretation

2016
Tectonics deals with deformation of the earth and its evolution in time in response to geologic stress and plays a major role in hydrocarbon exploration. An assortment of structures and deformations associated with different stress regimes, show typical manifestations in seismic data that can be conveniently picked.
openaire   +2 more sources

Seismic anisotropy in Trinidad: Processing and interpretation

SEG Technical Program Expanded Abstracts 1997, 1997
The imaging improvements are shown for two different lines from Trinidad. The lithology of offshore Trinidad is formed of alternating sequences of sand and shale dominated layers. Despite the presence of sands, accounting for anisotropy in seismic processing results in improved imaging of structural and stratigraphic features.
Dave Rampton, Tariq Alkhalifah
openaire   +3 more sources

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