Unsupervised identification of seismic horizons using swarms of cooperating agents

a technology of cooperating agents and seismic data, applied in the field of unsupervised identification of seismic data using cooperating agent swarms, can solve the problems of difficult interpretation of seismic data, high cost of errors, and difficulty in identifying horizons in seismic data

Active Publication Date: 2018-09-20
IBM CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The present inventor describes an improved way for managing multiple resources within one area by assigning them with specific roles or groups based on their importance level. This helps manage resource allocation efficiently while ensuring that each group receives enough work from all other teams working together effectively.

Problems solved by technology

Technological Problem: Seismology describes how accurately interpreting seismograms helps businesses better manage their assets more efficiently during drilling operations for exploitation purposes such as mineral prospecting. However, it takes considerable effort from experts who often overlook important aspects like identifies fault lines that indicate areas where sedimentation occurs (hydrofugging) instead of crushing rocks themselves. Additionally, there could be errors when selecting certain parts within an area based solely upon visual inspection alone without any consideration about underlying physical processes involved.

Method used

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  • Unsupervised identification of seismic horizons using swarms of cooperating agents
  • Unsupervised identification of seismic horizons using swarms of cooperating agents
  • Unsupervised identification of seismic horizons using swarms of cooperating agents

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Embodiment Construction

[0023]Exemplary embodiments of the disclosure as described herein generally provide systems and methods for implementing a method for unsupervised identification of seismic horizons in digital images using swarms of cooperating agents. While embodiments are susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that there is no intent to limit the disclosure to the particular forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the disclosure.

[0024]As used herein, the term “image” refers to multi-dimensional data composed of discrete image elements (e.g., pixels for 2-dimensional images and voxels for 3-dimensional images). The image may be, for example, an image of a subject collected by any imaging system known to one of skill in the ar

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Abstract

A method for identifying seismic horizons in digitized seismic images includes deploying a swarm of agents at an initial position in a seismic image to be analyzed, where the swarm of agents includes picking agents that define a direction for the swarm and averaging agents that smooth the direction of the swarm, identifying a direction to follow in the seismic image for each picking agent, and advancing each picking agent in the identified direction, and averaging, by the averaging agents, the directions identified by the picking agents, wherein if an information concentration measured by a picking agent at a current time step is greater than a previous time step, the picking agent keeps a previous direction, otherwise the picking agent changes direction according to the average current state of the set of averaging agents within its neighborhood.

Description

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Claims

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Application Information

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Owner IBM CORP
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