基于改进AHP的储层综合评价方法

储层评价是油田有利区筛选及预测的重要基础和依据，针对传统AHP方法主观性强、判断矩阵不一致等问题，对AHP算法进行改进，提出一种基于改进AHP的储层综合评价方法. 该方法采用群组AHP方法构建判断矩阵以降低专家的主观性偏见；然后，利用最小二乘原理构建拟优一致矩阵解决判断矩阵的不一致性问题；其次，在计算底层指标的评价向量时将其分为定性指标和定量指标，其中定性指标采用专家评价得到评价向量，定量指标量则采用效用函数法和灰色层次分析法相结合得到评价向量；最后通过评价向量、各层指标权重对储层进行综合评价. 实例计算表明该方法可以获得更加科学、客观的储层评价标准，能提高研究区的开发效果并为后续开发方案的调整提供有利依据.

Comprehensive Reservoir Evaluation Method Based on Improved AHP

Reservoir evaluation is the foundation of selecting and predicting the oil field favorable areas. In order to solve the problems of subjectivity and inconsistent of judging matrix, which are encountered in the traditional AHP method, an comprehensive reservoir evaluation method based on improved AHP method is proposed. The method constructs judgement matrix to reduce the expert''s subjective bias by using group AHP method and quasi-optimun consistent matrix and to solve the inconsistent problem of judging matrix by using least square principle. Then, the bottom indicators are divided into non-quantifiable indicators which obtain the evaluation vector by using experts'' evaluation method and quantifiable indicators which obtain the evaluation vector by using the utility function method and grey AHP method. Finally, the comprehensive reservoir evaluation is calculated by the evaluation vector and the indicator weight of each layer. The results show that the proposed method can obtain the reservoir evaluation standard more objective and scientific. The reservoir evaluation standard can improve the development effect of the study area and provide favorable basis for adjusting the subsequent development programs.