首页|基于BO-XGBoost优化方法的砂岩厚度预测方法研究与应用

基于BO-XGBoost优化方法的砂岩厚度预测方法研究与应用

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河道砂体预测在油气勘探中具有十分重要的作用,但在实际勘探开发中,复杂河道砂体地层埋深及河道本身结构的复杂性会使其井震关系较差,进而导致砂岩预测精度较低.针对该问题,笔者利用地震多属性信息,发挥密井网优势,利用BO-XGBoost砂岩厚度预测方法,在验证集占比为25%时取得最佳的预测效果,且预测效果要好于常规SVM和XGBoost方法.研究方法对同类复杂储层的砂岩厚度预测,有借鉴意义.
Research and application of sandstone thickness prediction method based on BO-XGBoost optimization method
Channel sand body prediction plays a vital role in oil and gas exploration,but in actual exploration and develop-ment,the buried depth of complex channel sand body and the complexity of channel structure will make its well seismic rela-tionship poor,leading to low sandstone prediction accuracy.Given this problem,this paper uses the seismic multi-attribute in-formation,gives full play to the advantages of the dense well pattern,and uses the BO-XGBoost sandstone thickness prediction method to achieve the best prediction effect when the validation set proportion is 25%.The prediction effect is better than the conventional SVM and XGBoost methods.The research method can be used for reference in sandstone thickness prediction of similar complex reservoirs.

bayesian optimizationXGBoostsand bodythickness prediction

刘烜良、张军华、白青林、王福金、刘中伟、焦红岩

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中国石油大学(华东)地球科学与技术学院,青岛 266580

中国石化胜利油田分公司现河采油厂,东营 257068

贝叶斯优化 XGBoost 砂体 厚度预测

国家自然科学基金胜利油田项目

4207216930200003-21-ZC0631

2024

物探化探计算技术
成都理工大学 中国地质科学院物化探研究所

物探化探计算技术

CSTPCD
影响因子:0.398
ISSN:1001-1749
年,卷(期):2024.46(2)
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