Interactive interpretation of seismic data

Geophysics ◽  
1984 ◽  
Vol 49 (4) ◽  
pp. 353-363 ◽  
Author(s):  
Anthony C. Gerhardstein ◽  
Alistair R. Brown
Keyword(s):  
Data Base ◽  
Seismic Data ◽  
Interactive System ◽  
Horizontal Section ◽  
Irregular Grid ◽  
Television Screen ◽  
Data Volume ◽  
Section Form

Interactive interpretation is urgently needed to increase the productivity of the world’s hard‐pressed seismic interpreters. This paper describes the use of an interactive system that displays seismic data in color on a television screen. The system is easy to use and, by automatically managing the data base for the interpreter, permits him to spend a larger portion of his time on the thoughtful process of interpretation itself. A 3-D data volume can be studied in both vertical or horizontal section form. The system can equally well handle the irregular grid from a 2-D survey. In the course of interpreting a section on the screen, the interpreter may manipulate portions of that section in a variety of ways. He may make composite displays of multiple pieces of data, track horizons in automatic or manual modes, and zoom portions of the data to any desired extent. An interpretation made on one section can later be viewed on other sections marked at the points of intersection. Data can also be flattened to aid in structural and stratigraphic interpretations. Working maps can be produced at any time to check the progress of the interpretation. Final maps can be smoothed and manipulated to yield isochron, isopach, and other map products.

Using AI/ML to Explore & Develop Quickly and Efficiently

2021 ◽  
Author(s):  
Anthony Aming
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Seismic Data ◽  
3D Seismic ◽  
Structure Amplitude ◽  
Zero Crossing ◽  
Petroleum Systems ◽  
Exploration And Production ◽  
Data Volume ◽  
3D Seismic Data

Abstract See how application of a fully trained Artificial Intelligence (AI) / Machine Learning (ML) technology applied to 3D seismic data volumes delivers an unbiased data driven assessment of entire volumes or corporate seismic data libraries quickly. Whether the analysis is undertaken using onsite hardware or a cloud based mega cluster, this automated approach provides unparalleled insights for the interpretation and prospectivity analysis of any dataset. The Artificial Intelligence (AI) / Machine Learning (ML) technology uses unsupervised genetics algorithms to create families of waveforms, called GeoPopulations, that are used to derive Amplitude, Structure (time or depth depending on the input 3D seismic volume) and the new seismic Fitness attribute. We will show how Fitness is used to interpret paleo geomorphology and facies maps for every peak, trough and zero crossing of the 3D seismic volume. Using the Structure, Amplitude and Fitness attribute maps created for every peak, trough and zero crossing the Exploration and Production (E&P) team can evaluate and mitigate Geological and Geophysical (G&G) risks and uncertainty associated with their petroleum systems quickly using the entire 3D seismic data volume.

Combined Application of Deep Boundary Detection Tool, Multilayer Data Inversion and 3D Visualization of Seismic Data in Real Time for Geosteering on the Oilfield in the Russian Federation

2021 ◽  
Author(s):  
Chingis Oshakbayev ◽  
Roman Romanov ◽  
Valentin Vlassenko ◽  
Simon Austin ◽  
Sergey Kovalev ◽  
...  
Keyword(s):  
Real Time ◽  
Oil Recovery ◽  
Seismic Data ◽  
3D Visualization ◽  
Structural Data ◽  
Boundary Detection ◽  
Integrated Analysis ◽  
Horizontal Section ◽  
Recovery Method ◽  
Detection Tool

Abstract Currently drilling of horizontal wells is a common enhanced oil recovery method. Geosteering services are often used for accurate well placement, which makes it possible to achieve a significant increase in production at relatively low cost. This paper describes the result of using seismic data in three-dimensional visualization for high-quality geosteering using a deep boundary detection tool and multilayer inversion in real time. Crossing the top of the reservoir while drilling horizontal sections at the current oilfield is unacceptable, due to the presence of reactive mudstones. In case of crossing the top of reservoir, further work on running and installing the liner becomes impossible due to instability and may lead to well collapse. Based on prewell analysis of the structural data, the well was not supposed to approach the top of the target formation along the planned profile. However, while preparing geosteering model and analyzing seismic data it became possible to reveal that risk, elaborate its mitigation and eventually increase the length of the horizontal section. Such integrated analysis made it possible to maintain the wellbore within the target reservoirs, as well as to update the structural bedding of the top based on the multilayer inversion results.

scholarly journals Muting the noise cone in near‐surface reflection data: An example from southeastern Kansas

Geophysics ◽  
1998 ◽  
Vol 63 (4) ◽  
pp. 1332-1338 ◽  
Author(s):  
Gregory S. Baker ◽  
Don W. Steeples ◽  
Matt Drake
Keyword(s):  
Data Processing ◽  
Seismic Data ◽  
Hydrocarbon Exploration ◽  
Seismic Reflection Profile ◽  
Seismic Data Processing ◽  
Near Surface ◽  
Surface Reflection ◽  
Reflection Data ◽  
Data Volume ◽  
Total Data

A 300-m near‐surface seismic reflection profile was collected in southeastern Kansas to locate a fault(s) associated with a recognized stratigraphic offset on either side of a region of unexposed bedrock. A substantial increase in the S/N ratio of the final stacked section was achieved by muting all data arriving in time after the airwave. Methods of applying traditional seismic data processing techniques to near‐surface data (200 ms of data or less) often differ notably from hydrocarbon exploration‐scale processing (3–4 s of data or more). The example of noise cone muting used is contrary to normal exploration‐scale seismic data processing philosophy, which is to include all data containing signal. The noise cone mute applied to the data removed more than one‐third of the total data volume, some of which contains signal. In this case, however, the severe muting resulted in a higher S/N ratio in the final stacked section, even though some signal could be identified within the muted data. This example supports the suggestion that nontraditional techniques sometimes need to be considered when processing near‐surface seismic data.

Use of seismic stratigraphy for Minnelusa exploration, northeastern Wyoming

Geophysics ◽  
1984 ◽  
Vol 49 (6) ◽  
pp. 715-721 ◽  
Author(s):  
Reverend Francis D. Raffalovich ◽  
Terrell B. Daw
Keyword(s):  
Seismic Data ◽  
Seismic Stratigraphy ◽  
Synthetic Seismograms ◽  
Powder River Basin ◽  
Paper Briefly ◽  
Seismic Attribute ◽  
Seismic Line ◽  
Processing Techniques ◽  
Sonic Logs ◽  
Section Form

While Minnelusa sands have yielded significant reserves in Wyoming’s Powder River Basin, geologic complexities have made these sands an elusive target. This paper briefly describes the development of a technique which was used successfully in the exploration of Minnelusa sands. This tehnique can be applied to many stratigraphic exploration programs. Sonic logs, which are key logs in defining Minnelusa sands, in the C-H field were used to construct synthetic seismograms. These synthetics were then organized in cross‐section form to define whether a change in Minnelusa sands would yield an identifiable change on the synthetics. The “idealized” seismic response did show an obvious lateral change from upper sand to no upper sand conditions, and a pilot seismic line was shot using a Vibroseis® source. This line, which was shot through the C-H field, successfully showed the updip limits of the upper Minnelusa sands. A subsequent seismic program was acquired and other leads and prospects were identified, including prospects that were drilled and successfully completed in the Rozet area. However, a number of other wells conformed to Murphy’s law. In addition to standard processing techniques, high‐resolution processing and seismic attribute processing was done on some of the seismic data, yielding differing degrees of success. By closely coordinating geologic and geophysical principles, a useful stratigraphic‐seismic methodology was developed which has application to a wide variety of exploration problems. ™Trade and service mark of Conoco Inc.

Geophysicists meet in Muscat to discuss advancements in land geophysical acquisition technologies

2020 ◽  
Vol 39 (6) ◽  
pp. 434-435
Author(s):  
Fuad Somali ◽  
Yasin Charles El-Taha
Keyword(s):  
Seismic Data ◽  
Survey Design ◽  
High Density ◽  
Unconventional Reservoirs ◽  
The Past ◽  
Equipment Manufacturing ◽  
Data Volume ◽  
Complex Geology ◽  
The Way

In recent years, technological advancements have paved the way to acquire seismic data in innovative ways. Adopting these technologies led to increased trace densities and increased data volume. In the past, conventional acquisition with low trace densities and limited offset and azimuth distribution served well to image simple geologic targets. This led to the discovery of currently producing fields. However, exploration strategies have changed by focusing on more complex geology (e.g., unconventional reservoirs and stratigraphic traps). High density and broadband acquisition are therefore essential to map subtle and complex targets. Advancements in equipment manufacturing and survey design have made this possible.

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