发明名称 Selection of diversion techniques based upon weighted well characteristics
摘要 A system for selecting diversion techniques includes a memory storage device and a processor. The processor is configured to, for each of several well characteristics, assign a weight to each of the several well characteristics, where the weight is indicative of the importance of the well characteristic to the selection of a diversion technique, and where not all of the weights are the same. The processor is further configured to calculate a desirability of each of several diversion techniques based upon, at least partially, the weights and the several well characteristics, and select a diversion technique based upon, at least partially, the calculated desirability of the several diversion techniques.
申请公布号 US9547825(B2) 申请公布日期 2017.01.17
申请号 US201515114684 申请日期 2015.01.06
申请人 Halliburton Energy Services, Inc. 发明人 Poyyara Ragi Lohidakshan;Patnana Vijaya Kumar
分类号 G06N7/00;E21B43/25;E21B33/138;G06F17/16;E21B33/14 主分类号 G06N7/00
代理机构 Baker Botts L.L.P. 代理人 Wustenberg John W.;Baker Botts L.L.P.
主权项 1. A method of selecting diversion techniques, comprising: for each of a plurality of well characteristics, assigning a relative importance value to each of the plurality of well characteristics as compared against each of the plurality of well characteristics, where, for converse comparisons of any two of the well characteristics, the relative importance values of the converse comparisons are reciprocal values of one another, and where, for comparisons of one of the well characteristics against the same well characteristic, the relative importance value is equivalent to 1; forming a matrix comprising rows, columns, and cells, wherein the rows comprise at least two of the plurality of well characteristics, wherein the columns comprise the same number and order of well characteristics as exist in the rows, and wherein each cell comprises the relative importance value corresponding to the comparison of the well characteristic of the corresponding row against the well characteristic of the corresponding column; calculating a weight for each well characteristic represented in the matrix based upon, at least partially, at least one value selected from the group consisting of an Eigenvector of the matrix and an Eigenvalue of the matrix, the weight indicative of the importance of the well characteristic to the selection of a diversion technique, wherein not all of the weights are the same; calculating a desirability of each of a plurality of diversion techniques based upon, at least partially, the plurality of the weights and the plurality of well characteristics; and selecting a diversion technique based upon, at least partially, the calculated desirability of each of the plurality of diversion techniques.
地址 Houston TX US