深侧向电阻率曲线重构技术在薄差储层预测中的应用  被引量:2

Application of LLD curve reconstruction technology in thin and poor reservoir prediction

在线阅读下载全文

作  者:胡玉双[1] 王雨萱 Hu Yushuang;Wang Yuxuan(School of Earth Sciences, Northeast Petroleum University, Daqing 163318, China)

机构地区:[1]东北石油大学地球科学学院,黑龙江大庆163318

出  处:《黑龙江科技大学学报》2021年第2期163-168,共6页Journal of Heilongjiang University of Science And Technology

摘  要:为精确刻画地下砂体展布特征,寻找优质储层,使用一种新的重构优势曲线进行地震反演。以葡北油田454井区葡萄花油层一段为例,根据曲线对砂泥岩的敏感性,以对岩性响应较好的深侧向电阻率曲线为反演曲线,分析其品质。由于深侧向电阻率曲线高频部分存在误差,故选用砂岩数据曲线化以补充其高频部分,通过插值法确定深侧向电阻率曲线和岩性曲线之间的重构关系式及重构参数,实现曲线重构反演。结果表明,砂体的最大识别精度由2.2 m提高到0.8 m,能够更加精确识别薄差岩体的厚度和分布规律。This paper proposes a newly reconstructed dominant curve for seismic inversion able to accurately describe the distribution characteristics behind underground sand bodies and thereby find high-quality reservoirs.The paper does this by selecting the resistivity curve which responds better to deep lateral as the inversion curve by taking the first section of Putaohua Pay Zone in the No.454 area of North Putaohua Oilfield as an example and comparing the sensitivity of the curves to sand and mudstone;the subsequent analysis of its quality.The study is focused on the supplementation of the high frequency part by selecting the sandstone data to be curved,given errors occurring in the high frequency part of the LLD curve;the determination of the reconstruction relationship between the deep lateral resistivity curve and the lithology curve and the reconstruction parameters using interpolation method;and the ultimate achievement of curve reconstruction inversion.The results show that the maximum identification accuracy of sand bodies has been improved from 2.2 m to 0.8 m,enabling a more accurate identification of the thickness and distribution of thin and poor rock bodies.

关 键 词:油田 深侧向电阻率曲线 重构技术 插值法 波阻抗反演 

分 类 号:P618.13[天文地球—矿床学] P631.81[天文地球—地质学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象