title: Organoporosity evaluation of shale: a case study of the Lower Silurian Longmaxi Shale in southeast Chongqing, China.
abstract: The organopores play an important role in determining total volume of hydrocarbons in shale gas reservoir. The Lower Silurian Longmaxi Shale in southeast Chongqing was selected as a case to confirm the contribution of organopores (microscale and nanoscale pores within organic matters in shale) formed by hydrocarbon generation to total volume of hydrocarbons in shale gas reservoir. Using the material balance principle combined with chemical kinetics methods, an evaluation model of organoporosity for shale gas reservoirs was established. The results indicate that there are four important model parameters to consider when evaluating organoporosity in shale: the original organic carbon (w(TOC0)), the original hydrogen index (I H0), the transformation ratio of generated hydrocarbon (F(R o)), and the organopore correction coefficient (C). The organoporosity of the Lower Silurian Longmaxi Shale in the Py1 well is from 0.20 to 2.76%, and the average value is 1.25%. The organoporosity variation trends and the residual organic carbon of Longmaxi Shale are consistent in section. The residual organic carbon is indicative of the relative levels of organoporosity, while the samples are in the same shale reservoirs with similar buried depths.
authors.affiliation: Institute of Unconventional Hydrocarbon and New Energy Sources, China University of Petroleum (East China), Qingdao 266580, China.
authors.forename: Fangwen
authors.initials: F
authors.lastname: Chen
authors.affiliation: Institute of Unconventional Hydrocarbon and New Energy Sources, China University of Petroleum (East China), Qingdao 266580, China.
authors.forename: Shuangfang
authors.initials: S
authors.lastname: Lu
authors.affiliation: Institute of Unconventional Hydrocarbon and New Energy Sources, China University of Petroleum (East China), Qingdao 266580, China.
authors.forename: Xue
authors.initials: X
authors.lastname: Ding
mesh_terms: D008956:Models, Chemical; D008962:Models, Theoretical; D016062:Porosity