Restoration of hydrocarbon generation potential of the highly mature Lower Cambrian Yuertusi Formation source rocks in the Tarim Basin

The Early Cambrian Yuertusi Formation (& Jukcy;1y) in the Tarim Basin of China deposits a continuously developed suite of organic-rich black mudstones, which constitute an important source of oil and gas reservoirs in the Paleozoic. However, its hydrocarbon generation and evolution characteristics and resource potential have long been constrained by deeply buried strata and previous research. In this paper, based on the newly obtained ultra-deep well drilling data, the hydrocarbon generation and expulsion model of & Jukcy;1y shale was established by using data-driven Monte Carlo simulation, upon which the hydrocarbon generation, expulsion, and retention amounts were calculated by using the diagenetic method. The research indicates that the & Jukcy;1y shale reaches the hydrocarbon generation and expulsion threshold at equivalent vitrinite reflectances of 0.46% and 0.72%, respectively. The cumulative hydrocarbon generation is 68.88 x 1010 t, the cumulative hydrocarbon expulsion is 35.59 x 1010 t, and the cumulative residual hydrocarbon is 33.29 x 1010 t. This paper systematically and quantitatively calculates the hydrocarbon expulsion at various key geological periods for the & Jukcy;1y source rocks in the study area for the first time, more precisely confirming that the black shale of the & Jukcy;1y is the most significant source rock contributing to the marine oil and gas resources in the Tarim Basin, filling the gap in hydrocarbon expulsion calculation in the study area, and providing an important basis for the formation and distribution of Paleozoic hydrocarbon reservoirs. The prospect of deep ultra-deep oil and gas exploration in the Tarim Basin is promising. Especially, the large area of dolomite reservoirs under the Cambrian salt and source rock interiors are the key breakthrough targets for the next exploration in the Tarim Basin. (c) 2024 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/).