Formation Mechanism and Quantitative Evaluation of Deep and Ultra-Deep Effective Reservoirs, 2nd Edition

Topic Information

Dear Colleagues,

Following the success of the first edition (Formation Mechanism and Quantitative Evaluation of Deep and Ultra-Deep Effective Reservoirs), we are pleased to launch the second edition of this Topic. 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 petrophysical 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 unconventional extending from low porosity and low permeability to ultra-low-permeability reservoirs. Thus, we can better understand the main controlling factors of effective reservoir formation and the mechanism of reservoir formation.

Therefore, we would like to launch a Topic on “Formation Mechanism and Quantitative Evaluation of Deep and Ultra-Deep Effective Reservoirs” to update the recent advances in the theories and methodologies of deep reservoir geology fundamentals and characterization. This Topic 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. Articles in this Topic will cover a wide range of subjects, 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 experiments and geophysical and petrophysical data for reservoir modelling. The Topic also explores the challenges and opportunities in reservoir characterization and modelling, such as the use of machine learning and artificial intelligence for improved high-quality reservoir prediction.

This Topic highlights the significance of understanding the geological characteristics and behaviour 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 predicting hydrocarbon reservoirs.

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

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.9	6.1	2011	16 Days	CHF 2400	Submit
Energies energies	3.9	8.3	2008	16.8 Days	CHF 2600	Submit
Fractal and Fractional fractalfract	3.5	6.8	2017	19.3 Days	CHF 2700	Submit
Geosciences geosciences	2.3	4.4	2011	23.6 Days	CHF 1800	Submit
Journal of Marine Science and Engineering jmse	3.2	5.6	2013	16.5 Days	CHF 2600	Submit

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