An Improved Method for Evaluating Hydrocarbon Generation of Shale: A Case Study of the Lower Cretaceous Qingshankou Formation Shale in the Songliao Basin

Because of the influence of hydrocarbons, especially adsorbed hydrocarbons, on the detection of cracked hydrocarbon (S2) and total organic carbon (TOC), the hydrogen index (HI)‐based hydrocarbon generation model deviates from actual practice. In this study, the shale in the first member of the Qingshankou Formation in the central depression of the Songliao Basin, where in northeastern China, was taken as the research object and a correction method for S2 and TOC was established. By correcting the experimental results of different maturity samples, the actual hydrocarbon generation model has been revealed, the differences before and after correction compared, and the evolutionary characteristics of the adsorbed hydrocarbon content were clarified. The results show that the organic matter enters the hydrocarbon generation threshold at Ro–0.5% and reaches the hydrocarbon generation peak at Ro–1.0% and that the hydrocarbon generation process ends at Ro–1.3%. The hydrocarbon generation model established based on the measured values has a ‘lag effect’ compared to actual values, and this extends the hydrocarbon generation window of organic matter and delays the hydrocarbon generation peak. With the increase of maturity, adsorbed hydrocarbon content shows the characteristics of ‘first increasing, then stabilizing, and then decreasing’, and reaches the most abundant stage at Ro of 0.9%–1.3%.

[1]  Ping Guan,et al.  Petroleum Retention, Intraformational Migration and Segmented Accumulation within the Organic‐rich Shale in the Cretaceous Qingshankou Formation of the Gulong Sag, Songliao Basin, Northeast China , 2023, Acta Geologica Sinica - English Edition.

[2]  Min Wang,et al.  The key parameter of shale oil resource evaluation: Oil content , 2022, Petroleum Science.

[3]  R. Zhu,et al.  Several issues worthy of attention in current lacustrine shale oil exploration and development , 2021, Petroleum Exploration and Development.

[4]  Yijing Du,et al.  Distribution Characteristics and Oil Mobility Thresholds in Lacustrine Shale reservoir: Insights from N2 Adsorption Experiments on Samples prior to and following Hydrocarbon Extraction , 2021, Petroleum Science.

[5]  Longde Sun,et al.  An analysis of major scientific problems and research paths of Gulong shale oil in Daqing Oilfield, NE China , 2021, Petroleum Exploration and Development.

[6]  Yaohua Li,et al.  Enrichment Patterns and New Discovery of Deep Lacustrine Shale Oil in the Upper Cretaceous Qingshankou Formation, Songliao Basin, NE China , 2021, Acta Geologica Sinica - English Edition.

[7]  X. Pang,et al.  A revised method for reconstructing the hydrocarbon generation and expulsion history and evaluating the hydrocarbon resource potential: Example from the first member of the Qingshankou Formation in the Northern Songliao Basin, Northeast China , 2020 .

[8]  X. Pang,et al.  An improved hydrocarbon generation potential method for quantifying hydrocarbon generation and expulsion characteristics with application example of Paleogene Shahejie Formation, Nanpu Sag, Bohai Bay Basin , 2020 .

[9]  Shiqiang Wu,et al.  What are in pyrolysis S1 peak and what are missed? Petroleum compositional characteristics revealed from programed pyrolysis and implications for shale oil mobility and resource potential , 2020 .

[10]  X. Pang,et al.  Hydrocarbon generation and expulsion characteristics of the source rocks in the third member of the Upper Triassic Xujiahe Formation and its effect on conventional and unconventional hydrocarbon resource potential in the Sichuan Basin , 2019, Marine and Petroleum Geology.

[11]  Xiaofei Fu,et al.  Geochemical characterization and quantitative evaluation of shale oil reservoir by two-dimensional nuclear magnetic resonance and quantitative grain fluorescence on extract: A case study from the Qingshankou Formation in Southern Songliao Basin, northeast China , 2019, Marine and Petroleum Geology.

[12]  Xiaofei Fu,et al.  Lithofacies and depositional setting of a highly prospective lacustrine shale oil succession from the Upper Cretaceous Qingshankou Formation in the Gulong sag, northern Songliao Basin, northeast China , 2019, AAPG Bulletin.

[13]  Shiqiang Wu,et al.  Generation kinetics based method for correcting effects of migrated oil on Rock-Eval data – An example from the Eocene Qianjiang Formation, Jianghan Basin, China , 2018, International Journal of Coal Geology.

[14]  Shiqiang Wu,et al.  Expelled oils and their impacts on Rock-Eval data interpretation, Eocene Qianjiang Formation in Jianghan Basin, China , 2018 .

[15]  Zhuoheng Chen,et al.  A numerical method for calculating total oil yield using a single routine Rock-Eval program: A case study of the Eocene Shahejie Formation in Dongying Depression, Bohai Bay Basin, China , 2018 .

[16]  X. Pang,et al.  Hydrocarbon evaporative loss evaluation of lacustrine shale oil based on mass balance method: Permian Lucaogou Formation in Jimusaer Depression, Junggar Basin , 2018 .

[17]  Ralf Littke,et al.  Geochemical and petrophysical source rock characterization of the Vaca Muerta Formation, Argentina: Implications for unconventional petroleum resource estimations , 2017 .

[18]  Shuangfang Lu,et al.  A Method to Recover the Original Total Organic Carbon Content and Cracking Potential of Source Rocks Accurately Based on the Hydrocarbon Generation Kinetics Theory , 2017 .

[19]  B. Horsfield,et al.  Oil retention and porosity evolution in organic rich shales , 2017 .

[20]  Chunqing Jiang,et al.  Model-assisted Rock-Eval data interpretation for source rock evaluation: Examples from producing and potential shale gas resource plays , 2016 .

[21]  B. Garcia,et al.  New Rock-Eval Method for Characterization of Unconventional Shale Resource Systems , 2016 .

[22]  P. Peng,et al.  Adsorption of mudstone source rock for shale oil – Experiments, model and a case study , 2016 .

[23]  Chunqing Jiang,et al.  A data driven model for studying kerogen kinetics with application examples from Canadian sedimentary basins , 2015 .

[24]  H. Sanei,et al.  Characterization of organic matter fractions in an unconventional tight gas siltstone reservoir , 2015 .

[25]  Chunqing Jiang,et al.  Comparison of Source Rock Kerogen Kinetics Using a Data-Driven Model and Based on Rock-Eval Pyrolysis Data , 2015 .

[26]  Haitao Xue,et al.  Correction Method of Light Hydrocarbons Losing and Heavy Hydrocarbon Handling for Residual Hydrocarbon (S1) from Shale , 2014 .

[27]  B. Katz,et al.  Lacustrine basin unconventional resource plays: Key differences , 2014 .

[28]  Yongfeng Zhang,et al.  Unconventional hydrocarbon resources in China and the prospect of exploration and development , 2012 .

[29]  D. Jarvie,et al.  Unconventional shale-gas systems: The Mississippian Barnett Shale of north-central Texas as one model for thermogenic shale-gas assessment , 2007 .

[30]  P. Mankiewicz,et al.  Evaluation of kinetic uncertainty in numerical models of petroleum generation , 2006 .

[31]  Xiongqi Pang,et al.  Geochemistry of petroleum systems in the Niuzhuang South Slope of Bohai Bay Basin: Part 3. Estimating hydrocarbon expulsion from the Shahejie formation , 2005 .

[32]  F. Behar,et al.  Rock-Eval 6 Technology: Performances and Developments , 2001 .

[33]  A. Burnham On the validity of the Pristane Formation Index , 1989 .

[34]  R. R. King Modified Method and Interpretation of Source Rock Pyrolysis for an Unconventional World* , 2015 .

[35]  Daniel M. Jarvie,et al.  Shale Resource Systems for Oil and Gas: Part 1—Shale-gas Resource Systems , 2012 .

[36]  Christopher J. Modica,et al.  Estimation of kerogen porosity in source rocks as a function of thermal transformation: Example from the Mowry Shale in the Powder River Basin of Wyoming , 2012 .

[37]  B. Dahl,et al.  Quantitative hydrocarbon potential mapping and organofacies study in the Greater Balder Area, Norwegian North Sea , 2005 .

[38]  J. Rullkötter,et al.  The Monterey Formation : from rocks to molecules , 2001 .

[39]  P. Leplat,et al.  Comparative Rock-Eval pyrolysis as an improved tool for sedimentary organic matter analysis , 1990 .

[40]  B. Tissot,et al.  Source rock characterization method for petroleum exploration , 1977 .