深度挖掘水平井资料预测地层倾角新方法

doi:10.11885/j.issn.1674-5086.2019.10.25.01

摘要/Abstract

摘要： 针对海上油田水平井较多的特征，深挖水平井资料预测地层倾角。根据水平井与储层相对位置及水平段轨迹形态，将水平井厘定为3类，分别为：“一”字型水平井、“V”字型水平井和小井斜水平井，阐述不同类型水平井资料挖掘过程中的优势与劣势，并结合不同类型水平井的资料特点，利用多类型电阻率测井协同、水平段拆分对比、真厚度方向校正对比等方法进行信息二次挖掘，预测地层倾角。该方法避免了水平井预测地层倾角时轨迹必须钻出储层的现状，在保证钻遇率的同时获得区域构造变化趋势，可为海上油田的精细开发、调整和挖潜提供更多的地质依据。

关键词: 水平井信息挖掘, 微构造预测, 地层倾角, 电阻率测井, 海上油田

Abstract: According to the characteristics of more horizontal wells in offshore oilfield, the data of horizontal wells are deeply analyzed to predict the formation dip angle. According to the relative position between horizontal well and reservoir and the trajectory shape of horizontal section, the horizontal wells are classified into three types, namely "——" horizontal well, V-shaped horizontal well and low inclination horizontal well.This paper expounds the advantages and disadvantages of different types of horizontal wells in the process of data mining, and combined with the data characteristics of different types of horizontal wells, uses the methods of multi type resistivity logging cooperation, horizontal section splitting and comparison, true thickness direction correction and comparison to carry out secondary information mining, and predicts the formation dip angle.This method avoids the fact that the trajectory must be drilled out of the reservoir when the horizontal well predicts the formation dip angle, and obtains the regional structural change trend while ensuring the drilling rate. It can provide more geological basis for the fine development, adjustment and tapping potential of offshore oilfield.

Key words: horizontal well information mining, microstructure prediction, formation dip, resistivity logging, offshore oilfield

中图分类号:

TE122

郭敬民, 孙恩慧, 汪巍, 李博, 杨东东. 深度挖掘水平井资料预测地层倾角新方法[J]. 西南石油大学学报(自然科学版), 2022, 44(1): 66-78.

GUO Jingmin, SUN Enhui, WANG Wei, LI Bo, YANG Dongdong. A New Method for Predicting Formation Dip Angle by Deep Mining Horizontal Well Data[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2022, 44(1): 66-78.

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