油气的非模糊综合评价方法

An alternative to fuzzy integrated evaluation method

青海石油管理局勘探开发研究院, 敦煌736202

Exploration and development Institute, Qinghai Petrolcum Administration, Dunhuang 736202

本文提供的非模糊评价方法, 是在已知测点目的层取一个点, 并在该点上、下各取C个点, 对这2C＋1个资料数据作归一化处理得到b_i(i＝1, 2, …, 2C＋1), 再作(i＝1, 2, …2C＋1；E＝Σb_i)处理, 然后只取目的层一个点为代表值, 如此获得n(已知测点数)×n(资料种数)个数据, 再根据n个已知测点的试油资料解线性方程组求得加权系数和产量系数。用同样方法获得未知测点的几种资料数据, 用求得的加权系数和产量系数计算综合评价值, 预测日产量。从而使综合评价方法由模糊变为“清晰”, 由定性变为定量。

This paper presents a well-defined evaluation method, where for each measurement point of the target, 2C+1 measurements are taken, among which one is taken at the point, C measurements are taken respectively in the upper and lower parts of the point. The observations are normalized into bi, and bi is devided by E, where i= 1, 2,...,2C+1 and EΣbi. We single out one figure from the above data as a representative of the target. For known behavior measurement points, there are n×nfigures where the former n is the number of the known behavior measurement points and the latter n is the number of differcnt types of information used. Using observations of oil test at thc known behavior measurement points, we can determine the weighted and outcome coefficients by solving a linear system of equations. The integrated evaluation index at each unknown behavior measurement point is determined from the obtaincd coefficients, therefore, predition of daily production can be made accordingly, which makes evaluation method from ill-defined towords well-defined and from qualitative towords quantitative.