油气藏评价与开发 ›› 2023, Vol. 13 ›› Issue (4): 474-483.doi: 10.13809/j.cnki.cn32-1825/te.2023.04.009

• 综合研究 • 上一篇    下一篇

PCA-OPLS联合法快速评价页岩气井储量动用程度

刘洪林1,2,3(),周尚文1,2,3,李晓波1,2,3   

  1. 1.中国石油勘探开发研究院,北京 100083
    2.中国石油非常规油气重点实验室,北京 100083
    3.国家能源页岩气研发(实验)中心,河北 廊坊 065007
  • 收稿日期:2022-04-08 出版日期:2023-08-26 发布日期:2023-09-01
  • 作者简介:刘洪林(1973—),男,硕士,高级工程师,主要从事非常规油气勘探开发工作。地址:北京市海淀区学院路20号中国石油勘探开发研究院, 邮政编码:100083。E-mail:liuhonglin69@petrochina.com.cn
  • 基金资助:
    中国石油前瞻性基础性研究项目“煤层气新区新层系新领域战略与评价技术研究”(2121DJ2303);中国石油科学与技术开发项目“页岩气提高储量动用技术研究”(kt2021-11-02-01)

Application of PCA plus OPLS method in rapid reserve production rate prediction of shale gas wells

LIU Honglin1,2,3(),ZHOU Shangwen1,2,3,LI Xiaobo1,2,3   

  1. 1. Research Institute Petroleum Exploration & Development, Petrochina, Beijing 100083, China
    2. PetroChina Key Laboratory for Unconventional Oil and Gas, Beijing 100083, China
    3. National Energy Shale Gas Research and Development(Experiment)Center, Langfang, Hebei 065007,China
  • Received:2022-04-08 Online:2023-08-26 Published:2023-09-01

摘要:

川南地区已经钻探完成了上千口页岩气井,地质评价、钻探和生产过程中产生了大量高维度的数据,利用生产获得的各种数据预测页岩气储量动用程度,是指导页岩气勘探开发的一项重要工作。耦合主成分分析法(PCA)与正交偏最小二乘法(OPLS)分析方法是形成一种快速、准确的储量动用程度预测新方法。通过结合主成分分析和正交偏最小二乘法,建立了PCA-OPLS联合法,借助昭通页岩气井样本,检验了新方法在储量动用程度评价中的应用效果。实例应用表明,页岩气井储量动用预测准确率满足要求,可以用于预测新钻井的储量动用程度,从而证明PCA-OPLS联合法能达到快速、准确预测储量动用程度的目的。该方法操作简单,准确率高,在页岩气储量动用评价中具有较好的应用前景。

关键词: 储量动用程度预测, PCA-OPLS法, 多元非线性回归, 精度检验, 页岩气

Abstract:

In southern Sichuan, thousands of shale gas wells have been drilled, generating a vast amount of high-dimensional data during geological evaluation, drilling, and production processes. Predicting reserve recovery ratios through data exploration and analysis is essential for guiding the exploration and development of shale gas resources. To achieve this goal, a novel approach is introduced, which couples principal component analysis(PCA) and orthogonal partial least square(OPLS) analysis, enabling rapid and accurate prediction of reserve production degree. The new method is put to the test using Zhaotong shale gas well samples to evaluate its effectiveness in predicting reserve recovery ratios. The results show that the average accuracy of reserve recovery ratio prediction using PCA-OPLS method surpasses the anticipated result, that this algorithm can swiftly and precisely predict recovery ratios. With its advantages of simplicity, high accuracy, and promising application prospects, this method holds great potential for efficiently evaluating the production and recovery ratios of shale gas reserves.

Key words: reserve recovery ratio prediction, PCA-OPLS method, multiple nonlinear regression, accuracy test, shale gas

中图分类号: 

  • TE122