Formation Mechanism and Quantitative Evaluation of Deep to Ultra-Deep High-Quality Reservoirs

Dear Colleagues,

Major breakthroughs have been made in recent years in the exploration and development of deep/ultra deep oil–gas reservoirs (e.g., shale gas, coal bed methane, and carbonate reservoirs). These reservoirs, often characterized by complex geological structures, extreme conditions, and unique formation mechanisms, pose significant challenges to researchers and engineers alike. A better understanding of the formation mechanisms and accurately characterizing the properties of these reservoirs is crucial for efficient resource recovery and sustainable energy development. The understanding of the physical properties of deep reservoirs, pore structure, and fluid properties has been expanded by the application of new technologies, and research has made great progress from conventional to nano and pore scale, extending from low porosity and low permeability to ultra-low-permeability reservoirs. Thus, we can better understand the main controlling factors of high-quality reservoir formation and the mechanism of reservoir formation.

Therefore, we would like to announce a Topic on “Formation Mechanism and Quantitative Evaluation of Deep to Ultra-Deep High-Quality Reservoirs” to update the recent advances in the theories and methodologies of deep reservoir geology fundamentals and characterization. This issue will present a comprehensive collection of research articles and reviews that delve into the intricate aspects of reservoir geology and the methodologies employed for reservoir characterization. The articles in this issue cover a wide range of topics, including the structural and stratigraphic controls on deep reservoir quality; the role of diagenesis in reservoir evolution; the influence of organic–inorganic interaction on reservoir quality; the application of advanced geophysical and geochemical techniques for reservoir characterization; and the integration of geological experiments and geophysical and petrophysical data for reservoir modeling. The issue also explores the challenges and opportunities in reservoir characterization and modeling, such as the use of machine learning and artificial intelligence for improved high-quality reservoir prediction.

This issue highlights the significance of understanding the geological properties and behavior of reservoirs in the context of hydrocarbon exploration and production. It showcases the latest advancements in reservoir characterization techniques and their potential to enhance the efficiency and sustainability of hydrocarbon production.

In summary, this Topic provides a valuable resource for researchers, practitioners, and students in the field of reservoir geology and characterization, offering insights into the latest research trends, methodologies, and applications for better understanding and managing hydrocarbon reservoirs.

Dr. Jianhua He
Dr. Andrew D. La Croix
Prof. Dr. Jim Underschultz
Prof. Dr. Hucheng Deng
Dr. Hao Xu
Dr. Ruyue Wang
Dr. Rui Liu
Topic Editors