A novel approach to overcoming time-lapse seismic monitoring challenges: Enhancing repeatability and data quality in Offshore Oilfields
1 TotalEnergies Exploration & Production Nigeria Limited, Nigeria.
2 Shell Nigeria Gas (SEN/ SNG), Nigeria.
3 Shell Petroleum Development Company, Lagos, Nigeria.
4 Shell Energy Nigeria PLC.
Review
World Journal of Advanced Engineering Technology and Sciences, 2022, 07(01), 186-202.
Article DOI: 10.30574/wjaets.2022.7.1.0113
Publication history:
Received on 24 September 2022; revised on 27 October 2022; accepted on 29 October 2022
Abstract:
Time-lapse seismic monitoring, or 4D seismic, plays a critical role in managing offshore oilfield reservoirs by identifying fluid movements and optimizing production strategies. However, achieving high-quality and repeatable seismic data remains a persistent challenge due to environmental variations, acquisition inconsistencies, and equipment limitations. This paper presents a novel approach to overcoming these challenges, focusing on advanced techniques and technologies to enhance repeatability and data quality in offshore environments. Key innovations include the deployment of permanent ocean-bottom seismic (OBS) systems integrated with fiber optic sensing and advanced noise suppression algorithms. These technologies ensure consistent sensor positioning, reduce environmental noise, and improve data acquisition accuracy over multiple surveys. Moreover, machine learning algorithms are leveraged for real-time data calibration and anomaly detection, significantly enhancing the precision of seismic interpretation. The proposed approach also incorporates adaptive acquisition strategies, which consider dynamic environmental factors such as ocean currents and seabed topography. By utilizing real-time environmental data, acquisition parameters are dynamically adjusted to maintain data consistency. Additionally, the integration of high-resolution imaging techniques provides detailed insights into reservoir dynamics, enabling better decision-making for reservoir management. Case studies from offshore oilfields demonstrate the effectiveness of this approach. The application of permanent OBS systems and machine learning-driven calibration improved seismic repeatability by over 30%, while high-resolution imaging enhanced the detection of subtle reservoir changes. These advancements contribute to more reliable reservoir monitoring, reduced operational costs, and minimized environmental impact. This study concludes that the integration of cutting-edge seismic technologies with adaptive strategies offers a transformative solution to time-lapse seismic monitoring challenges. By addressing repeatability and data quality issues, this approach ensures more accurate reservoir characterization and sustainable resource management in offshore oilfields.
Keywords:
Time-Lapse Seismic Monitoring; Offshore Oilfields; Seismic Repeatability; Data Quality Enhancement; Ocean-Bottom Seismic Systems; Fiber Optic Sensing; Machine Learning; Reservoir Management; Adaptive Acquisition Strategies
Full text article in PDF:
Copyright information:
Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0