Oil Exploration Using Soft Computing

American Journal of Computer Science and Engineering Survey (AJCSES) is a peer review open access journal publishing the state of the art research in computer science and engineering survey.

American Journal of Computer Science and Engineering Survey (AJCSES) is devoted to the publication referred papers on cutting-edge research in all the scientific areas of Computer Engineering and novel insights into its technology. It covers topics related to Computer Science, Computer Engineering, Computer Technology, Computer Hardware/Software, Computer Network, Computer Applications, Robotics and application.

Its editorial board members are very active and the peer- review process is done very well and releases the issue on time without any delay.

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 favourable to the proposed research.

SC is the combination of machine learning algorithms employed in the interest of development of application for real- world problem. The data mining algorithms were successfully implemented in all kind of business to provide decision in the complex situation. Oil exploration is the complex problem and data are vague and difficult to derive information and proposed method has achieved accuracy of an average of 92% for the dataset employed in the research. The ability of J48 to produce results achieved the better accuracy and shortest time than other methods employed in the research. The future work of the research is to expand the work for the other region in the world.

American Journal of Computer Science and Engineering Survey announces papers for the upcoming issue release.  Interested can submit your manuscripts as an e-mail attachment to the Editorial Office at computereng@imedpub.org

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Maegan Smith

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American Journal of Computer Science and Engineering Survey (AJCSES)

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