Geological suitability and capacity of CO₂ storage in the Jiyang Depression, East China

Abstract

Carbon dioxide capture and storage (CCS) is an effective technology to reduce carbon dioxide (CO2) emissions in China. In this paper, the authors considered storage opportunities offered by oil reservoirs and deep saline aquifers in the Jiyang Depression, in east China. Based on detailed geological analysis and assessment of CO2 storage suitability, the Dongying Sag and Linyi‐Shanghe areas of the Huimin Sag within the Jiyang Depression appear promising for CO2 storage. Following more detailed characterization, the second and third members of the Shahejie Formation located in these two areas appear the most promising for CO2 storage. Within the areas identified as having potential for storage, 55 primary and 62 secondary recommended storage units were defined, with a total theoretical capacity of 5.02 × 108 tonnes (t) CO2. This represents storage of CO2 emissions from large‐scale sources in the Jiyang Depression for more than 30 years at current emission rates. © 2018 Society of Chemical Industry and John Wiley & Sons, Ltd.

Assessment and uncertainty quantification of onshore geological CO2 storage capacity in China

“…These are not included in our assessment because of (i) their large distances from major emission sources and (ii) socio-political concerns that reduce the potential of these basins to firmly establish CO2 storage projects. Table 1 lists some key characteristics of the selected basins (B1-B10) collected from prior studies (e.g., Zeng et al, 2013;Diao et al, 2017;Fan et al, 2014;Wang et al, 2014;Jin et al, 2017;Wang et al, 2018). Such information is required for the assessment of carbon storage capacity, following Equations ( 1)-( 13) in Section 3.…”

“…This modeling choice is consistent with scenarios where prior information (e.g., measurements) on model parameters is not available and enables one to give equal weight to each value across the space of variability of a given parameter. We refer to information reported in the literature (Zeng et al, 2013;Diao et al, 2017;Fan et al, 2014;Wang et al, 2014;Jin et al, 2017;Wang et al, 2018) and consider broad ranges of variability for the values of each uncertain model parameter 𝜃 𝑖 (see Table 2). Selection of the support ranges of each 𝜃 𝑖 values is set to represent broad ranges of variability based on typical measurement uncertainties (see, e.g., Sifuentes et al, 2009;Li and Liu, 2016;Ajayi et al, 2019;Barros et al, 2021).…”

“…Basins in north-eastern China are chiefly characterized by a marked overall thickness of sedimentary bodies and several sets of reservoir-caprock layers, offering a setting of potential interest for geological storage of captured CO2(Zeng et al, 2013). In this scenario,Diao et al (2017) document that argillite (mudstone and shale) and evaporites (gypsum and rock salt) constitute the most commonly found caprocks for oil and gas fields in China; caprocks formed by carbonate rocks and frozen genesis caps are also found in some fields.Sandstone reservoir formations in Erlian sub-basins are buried at depths of 1-3 km and potential storage sites are formed by structural and fault traps Wang et al (2018). showed that key lithological traits of the Dongying and Shahejie formations in the Bohai bay Basin encompass pebbly sandstone, siltstone, sandstone intercalated with mudstone, and oil shale.…”