Geostatistic Inversion Study on Reservoir Prediction in MMC Oil Field

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Scientific Journal of Earth Science

Scientific Journal of Earth Science (SJES) is an international open access journal, concerning about the latest research results of earth science. The goal of the journal is to provide a global forum for scholars and researchers in this field to exchange ideas and promote the development of earth science theories, applications and technologies.The journal receives manuscripts written in Chinese or English. As for Chinese papers, the f... [More] Scientific Journal of Earth Science (SJES) is an international open access journal, concerning about the latest research results of earth science. The goal of the journal is to provide a global forum for scholars and researchers in this field to exchange ideas and promote the development of earth science theories, applications and technologies.

The journal receives manuscripts written in Chinese or English. As for Chinese papers, the following items in English are indispensible parts of the paper: paper title, author(s), author(s)'affiliation(s),abstract and keywords. If this is the first time you contribute an article to the journal, please format your manuscript as per the sample paper and then submit it into the online submission system. Accepted papers will immediately appear online followed by printed hard copies by Ivy Publisher globally. Therefore, the contributions should not be related to secret. The author takes sole responsibility for his views.

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Paper Infomation

Geostatistic Inversion Study on Reservoir Prediction in MMC Oil Field

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Author: Rutai Duan, Leyuan Fan, Shengli Hu

Abstract: The major reservoir in MMC oil field includes several features, for example, the reservoir is very thin, and the heterogeneity is very strong, vertical overlapping is very common, distribution is very complicate, and litho-faces and thickness variation are very strong. Reservoir distribution and characterization are the major difficulties. Due to the reasons mentioned above, reservoir prediction was implemented by using the geostatistic inversion. Through the analysis of the inversion results, the inversion result has both high vertical resolution and horizontal resolution; thin layer sandstone can be identified; and the inversion result has been well fit the data.

Keywords: Heterogeneity; Rreservoir prediction; Geostatistic inversion; High resolution

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