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Method and device for determining sonic slowness

A sonic, slowness technique used in the field of determining sonic slowness and devices that resolves issues of variance, timing and time delays in obtaining results

Pending Publication Date: 2021-06-01
GEOQUEST SYST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The results of a sonic log analysis can vary widely depending on the method and skill of the expert performing the analysis
In addition, the ability and availability of experts to perform the analysis limits the amount of sonic log data that can be processed, and can also introduce significant delays between the time the sonic data is recorded and the time the results are obtained

Method used

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  • Method and device for determining sonic slowness
  • Method and device for determining sonic slowness
  • Method and device for determining sonic slowness

Examples

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Embodiment Construction

[0053] Various features and advantageous details are more fully explained with reference to non-limiting embodiments shown in the drawings and described in detail in the following description. It should be understood, however, that the detailed description and specific examples are given by way of illustration only and not limitation. Various alterations, modifications, additions and / or rearrangements within the spirit and / or scope of this disclosure will become apparent to those skilled in the art.

[0054] One technical problem addressed by embodiments of the present invention relates to the limitations of sonic log analysis as an expert driven process. Embodiments of the invention may include machine learning systems, such as deep learning, to process, for example, sonic logging data to determine sonic slowness. Thus, in one example, the present disclosure and the appended claims provide a technical solution to the technical problem of determining the sonic slowness of son...

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Abstract

Sonic logging data including a sonic waveform associated with a plurality of shot gathers is accessed. A transformation operator is applied to the sonic logging data to provide a transformed sonic image, the transformation operator including at least one of a short time average long time average (STA / LTA) operator, a phase shift operator, and a deconvolution operator. A machine learning process is performed using the transformed sonic image to determine a sonic slowness associated with the sonic logging data. The sonic slowness is provided as an output.

Description

[0001] cross reference paragraph [0002] This application claims the benefit of U.S. Provisional Application No. 62 / 739,580, entitled "METHODAND DEVICE FOR DETERMINING SONIC SLOWNESS," filed October 1, 2018, the disclosure of which is hereby incorporated by reference. into this article. Background technique [0003] Sonic logging may be performed in a subterranean formation using logging tools, such as wireline tools and / or logging-while-drilling tools. A logging tool is placed in a subterranean formation (eg, a borehole) and includes at least one transmitter for emitting reference acoustic waves. The logging tool may include a plurality of receivers that receive and register arriving acoustic waves after the source waves propagate through the subterranean formation. Sonic data provided by sonic logs may be used to characterize physical properties of subsurface formations, such as properties of rock within the subsurface formation. The acoustic data can be used to estimate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/48G01V1/50E21B47/00E21B41/00G06N20/00
CPCG01V1/50G01V1/42G01V2210/6222G01V1/303G06N3/08G06N3/045G01V1/345G06N3/04
Inventor B·卡德拉奥伊L·D·D·林R·阿库特山本裕祥E·维勒曼克S·基斯拉
Owner GEOQUEST SYST
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