The application of ΔLogR technology based on the error analysis for source rock evaluation in Longfengshan Sag,Changling Faulted Depression

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  • 1.School of Geosciences,China University of Petroleum,Qingdao 266580,China;
    2.Exploration and Development Research Institute,Northeast Oil and Gas Branch,SINOPEC,Changchun 130062,China

Received date: 2016-02-03

  Revised date: 2016-04-13

  Online published: 2019-09-10

Abstract

It is difficult to characterize organic carbon distribution of source rock by conventional organic geochemical methods for faulted strata in Longfengshan Sag,Changling Faulted Depression,since the burial depth of source rocks is deep and cored wells analysis data is few.Based on cored wells analysis data,organic carbon content of source rock can be described using ΔLogR technology.There are many problems,such as subjectivity and regional applicability of baseline value,the composite coefficient.As a result,the relationship between ΔLogR and the organic carbon content can be analyzed using improved ΔLogR model and optimal K and it can reduce the calculation error.However,there are many outliers in logging evaluation model of source rocks and the reason for outliers include diameter extension,thin interbed and data analysis.By removing outliers,empirical formula for quantitative calculation of organic carbon can be obtained.The coincidence rate between calculated and measured values is up to 80% and the result can objectively reflect the organic carbon content of source rock.Results show Shahezi Formation is the main source rock,with organic carbon content ranged from 1.0%-3.0%,and  lower part of Yingcheng Formation is the secondary source rock,with organic carbon content ranged from 0.6%-1.0%.

Cite this article

Xu Juan-juan, Jiang You-lu, Zhu Jian-feng . The application of ΔLogR technology based on the error analysis for source rock evaluation in Longfengshan Sag,Changling Faulted Depression[J]. Natural Gas Geoscience, 2016 , 27(10) : 1869 -1877 . DOI: 10.11764/j.issn.1672-1926.2016.10.1869

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