High-resolution, wide-azimuth beam tomography for velocity model building

Popovici, Alexander Mihai; Tanushev, Nicolay M.; Hardesty, Sean

doi:10.1190/segam2016-13778639.1

SEG Technical Program Expanded Abstracts 2016 2016

DOI: 10.1190/segam2016-13778639.1

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High-resolution, wide-azimuth beam tomography for velocity model building

Alexander Mihai Popovici

Nicolay M. Tanushev

Sean Hardesty

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2024

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Prediction of fluid brine event zones by artificial intelligence methods based on new generation RTH seismic attributes and drilling data at the Kovykta gas condensate field

Bugaev,

Erokhin,

Ryabykh

et al. 2024

Doklady Rossijskoj akademii nauk. Nauki o Zemle

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A new method for predicting lithofacies, gas fluid and brine zones, zones with abnormally high reservoir pressure, as well as petrophysical properties of rocks using artificial intelligence methods based on a family of new seismic attributes of the RTH method and well drilling data is proposed. The main difference between RTH attributes and traditional ones obtained by migration transformation is their voxel nature and hyperattributive. It turned out that this is a key advantage of the new approach to solving problems of geological forecasting using artificial intelligence methods. The paper presents the results of applying a new method for processing and interpreting modern 3D seismic data, as well as geological forecasting based on it for the area of intense brine occurrence of the Kovykta gas condensate field.

show abstract

Prediction of fluid brine event zones by artificial intelligence methods based on new generation RTH seismic attributes and drilling data at the Kovykta gas condensate field

Bugaev,

Erokhin,

Ryabykh

et al. 2024

Doklady Rossijskoj akademii nauk. Nauki o Zemle

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show abstract

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High-resolution, wide-azimuth beam tomography for velocity model building

Cited by 1 publication

References 8 publications

Prediction of fluid brine event zones by artificial intelligence methods based on new generation RTH seismic attributes and drilling data at the Kovykta gas condensate field

Prediction of fluid brine event zones by artificial intelligence methods based on new generation RTH seismic attributes and drilling data at the Kovykta gas condensate field

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