Skip to main content

EDITORIAL article

Front. Earth Sci., 30 September 2022
Sec. Environmental Informatics and Remote Sensing
This article is part of the Research Topic The State-of-Art Techniques of Seismic Imaging for the Deep and Ultra-deep Hydrocarbon Reservoirs View all 13 articles

Editorial: The state-of-art techniques of seismic imaging for the deep and ultra-deep hydrocarbon reservoirs

  • Geophysics Department, China University of Petroleum (East China), Qingdao, China

At present, oil and gas resources that are relatively simple to explore have been extensively developed. Deep and ultra-deep hydrocarbon becomes one of the most important exploration targets. Under high-temperature and high-pressure conditions, deep oil and gas reservoirs have different hydrocarbon sources, accumulation mechanisms, geophysical and geochemical characteristics from conventional shallow-to-intermediate reservoirs. Seismic data from deep and ultra-deep strata have weak amplitudes, low signal-to-noise ratio, and bad resolution. These issues make it difficult for geophysicists to build accurate subsurface velocity models and produce high-quality images.

The Research Topic “The State-of-Art Techniques of Seismic Imaging for the Deep and Ultra-deep Hydrocarbon Reservoirs” aims to receive the Frontier research and application for deep and ultra-deep oil/gas exploration using seismic techniques, toward a better understanding of deep and ultra-deep petroleum systems. Twelve manuscripts have been accepted so far, covering seismic acquisition, modeling, imaging, inversion, and interpretation. For example, optimized acquisition systems have been proposed to improve the quality of full-waveform inversion and reverse-time migration for deep reservoirs. Accurate numerical modeling methods combined with high-performance computation have been developed to simulate seismic propagations in land exploration areas. Advanced migration approaches, including least-squares migration, attenuation compensation, scattering imaging and Gaussian beam migration for VSP surveys, have been presented to improve image quality for deep targets. Robust hydrocarbon prediction algorithms have been proposed to improve the accuracy of reservoir characterization for land low-signal-to-noise data. These developments provide new ideas for deep and ultra-deep seismic exploration.

Author contributions

JY and JH collaborate to write this editorial.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: seismic modeling, seismic imaging, seismic interpretation, seismic inversion, seismic acquisition

Citation: Yang J and Huang J (2022) Editorial: The state-of-art techniques of seismic imaging for the deep and ultra-deep hydrocarbon reservoirs. Front. Earth Sci. 10:1043314. doi: 10.3389/feart.2022.1043314

Received: 13 September 2022; Accepted: 14 September 2022;
Published: 30 September 2022.

Edited and reviewed by:

Alexander Kokhanovsky, Max Planck Institute for Chemistry, Germany

Copyright © 2022 Yang and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jidong Yang, amlkb25nLnlhbmdAdXBjLmVkdS5jbg==; Jianping Huang, anBodWFuZ0B1cGMuZWR1LmNu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.