首页|基于模式约束的油层单元智能自动对比方法——以渤海湾盆地史南油田史深100区块加积式地层对比为例

基于模式约束的油层单元智能自动对比方法——以渤海湾盆地史南油田史深100区块加积式地层对比为例

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针对基于数据驱动的地层自动对比方法难以适应侧向沉积相变快及地层厚度差异大的油层单元自动对比这一问题,建立基于模式约束的油层单元智能自动对比方法.该方法提出在油层单元自动对比中引入知识驱动,采用地层发育模式约束油层单元自动对比过程,并将地层模式约束思想引入构建的相似性度量机及改进的条件约束动态时间规整算法,实现了对标志层及各油层单元界面的自动对比.渤海湾盆地史南油田史深100区块的应用表明:与人工对比结果相比,该方法标志层识别吻合率高于95.00％,油层单元识别平均吻合率达90.02％;与已有自动对比方法相比,油层单元识别平均吻合率提升约17个百分点,有效提高了油层单元自动对比精度.
An intelligent automatic correlation method of oil-bearing strata based on pattern constraints:An example of accretionary stratigraphy of Shishen 100 block in Shinan Oilfield of Bohai Bay Basin,East China
Aiming at the problem that the data-driven automatic correlation methods which are difficult to adapt to the automatic correlation of oil-bearing strata with large changes in lateral sedimentary facies and strata thickness,an intelligent automatic correlation method of oil-bearing strata based on pattern constraints is formed.We propose to introduce knowledge-driven in automatic correlation of oil-bearing strata,constraining the correlation process by stratigraphic development patterns and improving the similarity measuring machine and conditional constraint dynamic time warping algorithm to automate the correlation of marker layers and the interfaces of each strata.The application in Shishen 100 block in the Shinan Oilfield of the Bohai Bay Basin shows that the coincidence rate of the marker layers identified by this method is over 95.00％,and the average coincidence rate of identified oil-bearing strata reaches 90.02％compared to artificial correlation results,which is about 17 percentage points higher than that of the existing automatic correlation methods.The accuracy of the automatic correlation of oil-bearing strata has been effectively improved.

oil-bearing strataautomatic correlationcontrastive learningstratigraphic development patternmarker layersimilarity measuring machineconditional constraint dynamic time warping algorithm

邬德刚、吴胜和、刘磊、孙以德

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中国石油大学(北京)人工智能学院,北京 102249

中国石油大学(北京)地球科学学院,北京 102249

中国石化胜利油田油气开发管理中心,山东东营 257000

油层单元 自动对比 对比学习 地层发育模式 标志层 相似性度量机 条件约束动态时间规整算法

国家自然科学基金中国石油天然气集团有限公司-中国石油大学(北京)战略合作科技专题

42272110ZLZX2020-02

2024

10.11698/PED.20230427

石油勘探与开发
中国石油天然气股份有限公司勘探开发研究院 中国石油集团科学技术研究院

石油勘探与开发

CSTPCD北大核心
影响因子：4.977
ISSN：1000-0747
年,卷(期)：2024.51(1)
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