System and method for seismic facies identification using machine learning

A technology of seismic facies identification and machine learning, applied in machine learning, seismology for well logging, seismology, etc., can solve problems such as bottlenecks and time-consuming

Active Publication Date: 2019-05-24
CHEVROU USA INC
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  • Description
  • Claims
  • Application Information

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Moreover, these track-by-track methods are time-consumin

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  • System and method for seismic facies identification using machine learning
  • System and method for seismic facies identification using machine learning
  • System and method for seismic facies identification using machine learning

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[0024] Described below are methods, systems, and computer-readable storage media that provide a means for seismic facies identification through machine learning. These embodiments are designed particularly for seismic imaging of subsurface volumes in geologically complex regions. These methods use geometric and / or textural properties associated with earthquakes and identify them using established or novel machine learning techniques. Machine learning techniques are able to harness significant computational processing power to reveal patterns in data that are difficult for human interpreters to discover, leading to more accurate phase classifications.

[0025] Reference will now be made in detail to various embodiments, examples of which are illustrated in the accompanying drawings. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure and the embodiments described herein. However,...

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Abstract

A method is described for seismic facies identification including receiving a seismic dataset representative of a subsurface volume of interest; performing a machine learning algorithm on the seismicdataset to identify seismic facies and generate a classified seismic image; and identifying geologic features based on the classified seismic image. The method may be executed by a computer system.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of priority to U.S. Provisional Application Serial No. 62 / 408188, filed October 14, 2016, the entire contents of which are incorporated herein by reference. [0003] Statement Regarding Federally Sponsored Research or Development [0004] Not applicable. technical field [0005] The disclosed embodiments relate generally to techniques for identifying facies in subterranean reservoirs, and in particular to methods of identifying facies from seismic data by machine learning. Background technique [0006] Seismic exploration involves surveying subsurface geological media for hydrocarbon deposition. Surveying typically involves deploying seismic sources and sensors at predetermined locations. Seismic sources generate seismic waves that propagate into the geological medium, producing pressure changes and vibrations. Changes in the physical properties of the geological medium cause cha...

Claims

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Application Information

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IPC IPC(8): G01V1/30G06N20/00
CPCG01V1/301G06N20/00G01V1/003G01V1/50
Inventor K·奥斯普弗D·威尔金森L·L·班杜拉A·D·哈皮尔特
Owner CHEVROU USA INC
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