林彧涵,蒋有录,苏圣民,冯赫青,李晶莹
LIN Yuhan,JIANG Youlu,SU Shengmin,FENG Heqing,LI Jingying

• 1:中国石油大学(华东)
• 2:中国石油华北油田公司

摘要(Abstract)：

有机碳含量常用来指示烃源岩的质量,烃源岩评价中由于实测地化数据有限,往往不能精确确定烃源岩有机碳含量的分布,故可利用测井数据对烃源岩进行有机碳含量预测。综合二连盆地乌兰花凹陷下白垩统烃源岩的地化及测井数据,优选出与烃源岩实测有机碳含量具有一定相关性的测井参数,采用改进后的多元回归方法进行公式拟合,建立烃源岩有机碳含量预测的测井解释模型。该模型既避免了原模型中常数项对计算结果的影响,又降低了利用单一测井参数时预测有机碳含量导致的误差。实例验证结果显示,改进后的多元回归法能够在实测地化参数不足的情况下利用测井数据预测烃源岩有机碳含量,在工区内具有较好的适用性。应用此模型进行了多口井的有机碳含量预测,明确了下白垩统腾一段、阿尔善组两套优质烃源岩的空间分布特征,两套主力烃源岩的质量具有差异性,且优质烃源岩的分布不均匀、主要分布于凹陷南部的中心处,可作为凹陷资源潜力预测的依据。
w(TOC) content is often used to indicate the quality of the hydrocarbon source rock, but its distribution characteristics usually cannot be precisely determined due to the limited geochemical data measured in the source rock evaluation. Therefore, the w(TOC) content of the hydrocarbon source rock can be predicted by using the well logging data. Based on Lower Cretaceous geochemical and logging data in Wulanhua Sag of Erlian Basin, the logging parameters which have certain correlation with the actually measured w(TOC) of source rocks were optimized. The improved multivariate regression method was used for the formula fitting, and the logging interpretion model for the w(TOC) prediction of hydrocarbon source rock was established, which avoids the influence of the constant terms on the calculated results in the original model, and reduces the error of w(TOC) prediction caused by the single well logging parameter.The case study shows that the improved multiple regression method can accurately predict the w(TOC) content of the source rocks with logging data in the case of the insufficient measured geochemical parameters and has good applicability. By applying the model to predict the w(TOC) for multiple wells, the spatial distribution characteristics of the two sets of high-quality source rocks in Lower Cretaceous Member Teng-1 and Alxa Formation in the study area were defined. The qualities of the two sets of main hydrocarbon source rocks are different and the distribution of the high-quality source rocks is uneven.The main dominant area is in the center of the south of the sag. The above research results can be used as the basis for the resource potential prediction of the sag.

关键词(KeyWords)： 乌兰花凹陷;优质烃源岩;测井预测;有机碳含量;多元回归模型
Wulanhua sag;high-quality hydrocarbon source rock;well logging prediction;w(TOC) content;multiple regression model

Abstract:

Keywords:

基金项目(Foundation): 中国石油天然气股份有限公司华北油田分公司技术开发项目“二连盆地潜山油藏成藏机制与勘探方向研究”(HBYT-2018-JS-176)

作者(Author): 林彧涵,蒋有录,苏圣民,冯赫青,李晶莹
LIN Yuhan,JIANG Youlu,SU Shengmin,FENG Heqing,LI Jingying

DOI: 10.19597/j.issn.1000-3754.202002003

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