A NEW APPROACH TO PREDICTING OIL AND GAS FIELD NUMBERS AND THEIR SIZE AND DISTRIBUTION──A METHOD OF PARETO TRUNCATED DISTRIBUTION MODELLING
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摘要: 本文把油气资源评价的成因法和统计模拟法相结合,建立了帕雷托截断分布模拟法,预测大型含油气地质单元的油气田数目及规模分布。本方法提出了对资源评价具有重要意义的“资源集中程度”参数,采用迭代过近算法实施模拟运算。最后应用此方法对塔里木盆地石油资源进行了预测,并就有关参数的选取作了探讨.Abstract: Based on the methods of origin and statisticaI modelling in hydrocarbon resource assessment, the method of Pareto truncated distribution modelling is constructed to predict oil and gas field numbers and their size and distribution in a mega-petroliferous region. The degree Of resource concentration is also proposed in this paper as an important parameter in resource evaluation, and the modelling procedure is fulfilled through iterative and approximate algorithm. At last, a case application of the oil resource forecasting of Tarim Basin is presented and the selection of related parameters is discussed.
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[1] Barouch E and G Kaufman. Estimation of undiscovered oil and gas:Procecding of Symposia in Applied Mathematics, 1977,21:77-91 [2] lee PJ and Wang PCC. Analysis of pool size distributions for evaluations of petroleum resources. ISPG,1982 [3] Betty M. Miller,翟光明译.资源评价方法的选择和结果·油气评价方法与应用,北京:石油工业出版社,1992,1-30
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