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Combined extraction technology of gravity anomaly of large reservoir |
LIU Zhan1, CHEN Xiao-hong1, ZHANG Gang2, WANG Zhi-min3
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(1.School of Geosciences in China University of Petroleum, Qingdao 266580, China;2.East China Mineral Exploration and Development Bureau, Nanjing 210007, China;3.Shengli Oil Production Research Institute, SINOPEC, Dongying 257000, China)
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Abstract: |
Based on the analysis of basic characteristics of various types of oil and gas reservoirs, some kinds of theoretical reservoir models were established considering four complex reservoirs that include anticlines, faults, pinchout and rock body piercing. Four identifying methods, i.e. trend analysis, difference cutting, wavelet analysis and cellular neural network were used to extract oil and gas gravity anomaly information. These methods were compared and then a combined extraction technology was formed based on the oil and gas reservoir model. The effectiveness of the combined extraction method was verified by processing actual data in Sebei, Three-lake region. The results show that the new method overcomes many shortcomings in popular single extraction methods, improves the reliability of the anomaly extraction, and reduces multiple solutions in the oil and gas prediction. The robustness of the combined extraction method was verified by comparing multiple techniques combining gravity and seismic joint interpretation technology, gravity anomaly regularization downward-continuation technology and apparent density imaging technology. |
Key words: reservoirs mode gravity anomaly extraction trend analysis difference cutting wavelet analysis cellular neural network |
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