A STUDY AND APPLICATION TO ARITHMETIC OF PRODUCTION ALLOCATION OF MULTILAYER COMMINGLED PRODUCTION
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摘要: 针对气相色谱指纹技术目前还难以被应用到3层及3层以上合采油层的局限,作者提出了一套人工神经网络学习算法,该算法具有非线性、精度高、适用于多层合采的优点。应用此方法,在实验室通过原油的全烃气相色谱和色谱-质谱分析,确定反映单层和配比的原油特征气相色谱指纹,建立特征指纹数据库,用人工神经网络算法对数据进行分析处理,找出内在规律,就可以对实际合采的原油进行分析应用。通过对喇嘛甸油田及萨尔图油田试验区合采油井的单层产量进行实验室配比计算和实际合采油层原油分析验证,计算结果具有很高的精度并与单井实际产量MFE测试结果吻合很好。该项计算技术为油田利用地球化学方法进行多层合采的单层产能配比计算提供了一个经济适用的途径。Abstract: Aim at the localization of the technique of gas chromatographic fingerprint,which is difficult of being applied to commingled production of three and more layers oil.The authors study and application an arithmetic of artificial nerve network.It has higher precision,and it is nonlinear and applicable to commingled production of more than three layers.Applying this arithmetic,through the analysis of whole hydrocarbon gas chromatographic fingerprint of crude oil in the laboratory,and pick out some characteristic fingerprint which reflect the character of crude oil in single and commingled layer,Setting up characteristic fingerprint data base,and then analyzing and processing them with ANN arithmetic,finding the rules,then the authors apply the arithmetic to the Lamadian and the Saertu oil field.As a result,even to the problem of more than three layers,the results also have high accuracy,and are close to the MFE test results.The application of the arithmetic offers a economical and applied path to production allocation calculations of multilayer commingled production with the geochemistry means.
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[1] Kaufman R L,Ahmed A S,Moldowan J M.A new technique for the analysis of commingled oils and its application to production allocation calculations[A].Proceedings of the 16th Annual Convention of Indonesian Petroleum Assoc[C].Indonesion Petroleum Association,1987.247～268 [2] Kaufman R L,Ahmed A S.Gas chromatography as a development and production tool for fingerprinting oils from Individual Reservoirs:Applications in the Gulf of Mexico[A].In:GCS/SEPM Foundation Ninth Annual Research Conference Procee-dings,1990,263～282 [3] Kaufman R L,Dashti H,Kabir C S,et al.Characterizing the greater Burgan Field:Use of geochemistry and oil fingerprinting[A].In:SPE Paper No.37803,1997.385～394 [4] 金晓辉,朱丹,林壬子等.原油气相色谱指纹可配比性实验研究[J].石油实验地质,2003,25(1):53～57 [5] 金晓辉,朱丹,林壬子.油田开发动态色谱指纹监测技术的数学模拟研究[J].石油勘探与开发,2001,28(3):86～89 [6] 冯子辉,张居和,关秋华.用族组成和全烃色谱确定原油单井产能配比[J].石油仪器,1999(2),40～42 [7] 付晓泰,王振平,毕丽飞.用高效液相色谱法预测两油层合采过程中单层的产量分数[J].色谱,2000,18(4):318～321 [8] 王振平,付晓泰,卢双舫等.合采油井产量贡献液相色谱监测法[J].地球化学,2000,29(3):297～301 [9] 邹宇峥,蔡元明,马亭等.如何消除应用于合采井原油产量分配计算的气相色谱指纹技术存在的缺陷[J].石油实验地质,2001,23(2):213～220 [10] Hagan M T.神经网络设计[M].戴葵译.西安:西安电子科技大学出版社,2002.197～255 -
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