| 王文文,李 诺,韩建强,罗 涛,肖 涛.基于多基因遗传规划的储层岩石静态模量预测[J].,2020,39(2):306-315 |
| 基于多基因遗传规划的储层岩石静态模量预测 |
| Static modulus prediction for reservoir rocks based on multi-gene genetic programming |
| 投稿时间：2019-06-17 修订日期：2020-02-25 |
| 中文摘要: |
| 基于线性拟合的利用岩石动态模量预测静态模量方法存在经验性强且精度不准的问题。利用实验测量的岩石纵波速度、孔隙度和体密度作为输入参数，基于多基因遗传规划方法，不断进化模型得到静态模量关于三个参数的解析表达式，对储层砂岩的静态模量进行了预测。结果表明，多基因遗传规划方法得到的模量表达式更为精确，此外，由于多基因遗传规划方法中横波速度不必要作为计算过程中的输入参数，因此避免了横波速度测量不准确或缺失而带来的静态模量计算误差。 |
| 英文摘要: |
| The static modulus prediction using dynamic modulus of rock based on linear fitting has strong experience and low accuracy. The measured P-wave velocity, porosity and bulk density of rock are taken as input parameters, and based on the multi-gene genetic programming method, the analytical expression of static modulus about the three parameters are obtained by continuous evolution. Then the static modulus of reservoir sandstone is predicted. The results show that the expression of modulus obtained by multi-gene genetic programming method is more accurate. In addition, the static modulus calculation error caused by inaccurate or missing measurement of shear wave velocity is avoided in genetic programming method because the shear wave velocity is not as an input parameter in the calculation process. |
| DOI：10.11684/j.issn.1000-310X.2020.02.018 |
| 中文关键词: 储层岩石，弹性模量，线性拟合，多基因遗传规划 |
| 英文关键词: Reservoir rocks, Elastic modulus, Linear fitting, Multigene genetic programming |
| 基金项目: |
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