Oil Exploration using Soft Computing

Oil Exploration using Soft Computing

Dr.Ashit Kumar Dutta

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Abstract

Soft computing (SC) techniques provide wide variety of applications in data processing, analysis and interpretation. SC play a key role in the geo sciences due to the immense size and uncertainty associated with the data. The nature of SC assesses oil industry in oil exploration and optimization of oil wells. There is a significant change in oil industry due to the complex techniques and modern equipment. Intelligent systems like Neuro computing and Artificial Intelligence are available for the exploration of oil and popular evolutionary algorithms have effective methods for the optimization of oil wells but processing of vague data create problems for the existing techniques. Uncertainty data plays a crucial role to take vital decisions. The research uses seismic data in the process of oil exploration and compared the proposed method with the existing methods and results are favorable to the proposed research.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr.Ashit Kumar Dutta. 2018. \u201cOil Exploration using Soft Computing\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 17 (GJCST Volume 17 Issue C3): .

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GJCST Volume 17 Issue C3
Pg. 31- 34

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-C Classification: K.5, K.6.2

Submission ReceivedDecember 10, 2016
Peer Review Double Blind
Handling Editor
Accepted January 5, 2017
Published January 15, 2017

Version of record

v1.2

Issue date

January 12, 2018

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Article Matrices

Total Score: 126

Country: Saudi Arabia

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Dr.Ashit Kumar Dutta (PhD/Dr. count: 1)

View Count (all-time): 260

Total Views (Real + Logic): 6341

Total Downloads (simulated): 1747

Publish Date: 2018 01, Fri

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Total Views: 6341

Total Downloads: 1747

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