Sedimentary Facies Identification and Organic Carbon Prediction Method
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侯明才——第十九次李四光地质科学奖科研奖获奖者⑪
Xin Lang Cai Jing· 2025-12-27 11:31
Core Viewpoint - The article highlights the academic and research achievements of Hou Mingcai, a prominent figure in sedimentary geology and resource energy exploration, emphasizing his contributions to the field through innovative methodologies and interdisciplinary collaboration [3][4]. Group 1: Academic Background - Hou Mingcai was born in October 1968 and graduated from East China University of Technology in 1992, specializing in uranium geological exploration [3]. - He obtained his master's and doctoral degrees in sedimentary geology from Chengdu University of Technology in 2000 and 2003, respectively [3]. Group 2: Research Contributions - Hou has focused on the digital transformation of sedimentology, developing machine learning and knowledge graph-based methods for sedimentary facies identification and organic carbon prediction [3]. - He has innovated a digital paleogeographic reconstruction platform, creating high-precision paleogeographic evolution models since the Permian of the Eastern Tethys [3]. - His research on deep oil and gas exploration has led to the development of sequence stratigraphy and paleogeography theories that support the discovery of large deep oil and gas fields [3]. Group 3: Green Energy Initiatives - In response to the demand for green and low-carbon energy, Hou proposed a differential heat control mechanism in the Qinghai-Tibet Plateau and its eastern edge [3]. - He has led the establishment of an integrated team for production, academia, research, and application to promote geothermal resource evaluation and comprehensive utilization demonstrations [3]. Group 4: Publications and Awards - Hou has published over 300 papers in journals such as NC, Geology, and Geological Journal, and authored 10 monographs [4]. - He has received several prestigious awards, including a second-class National Science and Technology Progress Award and a first-class provincial award [4]. - He is recognized as a leading academic and technical figure in Sichuan Province and enjoys special government allowances from the State Council [4].