The Role of Time Lapse(4D) Seismic Technology as Reservoir Monitoring and Surveillance Tool: A Comprehensive Review

Sambo, Chico; Iferobia, Cajetan Chimezie; Babasafari, Amir Abbas; Rezaei, Shiba; Akanni, Owolabi A.

doi:10.1016/j.jngse.2020.103312

Cited by 40 publications

(13 citation statements)

References 57 publications

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“…Reservoir monitoring and surveillance are the new frontier for the CSEM method [10,11]. Several synthetic studies have shown the CSEM time-lapse sensitivity in order to solve for resistivity changes associated with fluid substitution [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps

Menezes

Correa²,

Alvim³

et al. 2021

Energies

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The CSEM method, which is frequently used as a risk-reduction tool in hydrocarbon exploration, is finally moving to a new frontier: reservoir monitoring and surveillance. In the present work, we present a CSEM time-lapse interpretation workflow. One essential aspect of our workflow is the demonstration of the linear relationship between the anomalous transverse resistance, an attribute extracted from CSEM data inversion, and the SoPhiH attribute, which is estimated from fluid-flow simulators. Consequently, it is possible to reliably estimate SoPhiH maps from CSEM time-lapse surveys using such a relationship. We demonstrate our workflow’s effectiveness in the mature Marlim oilfield by simulating the CSEM time-lapse response after 30 and 40 years of seawater injection and detecting the remaining sweet spots in the reservoir. The Marlim reservoirs are analogous to several turbidite reservoirs worldwide, which can also be appraised with the proposed workflow. The prediction of SoPhiH maps by using CSEM data inversion can significantly improve reservoir time-lapse characterization.

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Section: Introductionmentioning

confidence: 99%

Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps

Menezes

Correa²,

Alvim³

et al. 2021

Energies

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“…The seismic data with an initial baseline survey before the injection and several follow-up surveys after a few years of injection are collected and processed with the same processing parameters. The anomalies between the processed data with the baseline survey and the follow-up surveys are attributable to changes in the reservoir [36], such as fluid movement [37] and CO 2 injection [38].…”

Section: Introductionmentioning

confidence: 99%

Connect the Dots: In Situ 4-D Seismic Monitoring of CO₂ Storage With Spatio-Temporal CNNs

Feng

Zhang

Wohlberg

et al. 2022

IEEE Trans. Geosci. Remote Sensing

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4D seismic imaging has been widely used in CO2 sequestration projects to monitor the fluid flow in the volumetric subsurface region that is not sampled by wells. Ideally, realtime monitoring and near-future forecasting would provide site operators with great insights to understand the dynamics of the subsurface reservoir and assess any potential risks. However, due to obstacles such as high deployment cost, availability of acquisition equipment, exclusion zones around surface structures, only very sparse seismic imaging data can be obtained during monitoring. That leads to an unavoidable and growing knowledge gap over time. The operator needs to understand the fluid flow throughout the project lifetime and the seismic data are only available at a limited number of times, this is insufficient for understanding the reservoir behavior. To overcome those challenges, we have developed spatio-temporal neural-networkbased models that can produce high-fidelity interpolated or extrapolated images effectively and efficiently. Specifically, our models are built on an autoencoder, and incorporate the long short-term memory (LSTM) structure with a new loss function regularized by optical flow. We validate the performance of our models using real 4D post-stack seismic imaging data acquired at the Sleipner CO2 sequestration field. We employ two different strategies in evaluating our models. Numerically, we compare our models with different baseline approaches using classic pixelbased metrics. We also conduct a blind survey and collect a total of 20 responses from domain experts to evaluate the quality of data generated by our models. Via both numerical and expert evaluation, we conclude that our models can produce high-quality 2D/3D seismic imaging data at a reasonable cost, offering the possibility of real-time monitoring or even near-future forecasting of the CO2 storage reservoir.

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“…It provides industry experts with methods to optimize and track hydrocarbon recovery rates, or to supervise CO2 storage capacity. An ideal reservoir management tool should be able to observe and track the internal fluid movement, estimate the effect of its displacement, locate and predict future distributions of fluid (SAMBO et al, 2020). In this context, 4D seismography is a complementary tool for reservoir management (LUMLEY, 2001), especially to obtain measures of the speed of sound in the water column.…”

Section: Introductionmentioning

confidence: 99%

Waveform-preserving processing flow of multichannel seismic reflection data for ocean thermohaline structure reconstruction (revisited)

2021

Proceeding of the 17th International Congress of the Brazilian Geophysical

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Along the advent of 4D seismic exploration, the need to properly compensate spatio-temporal variations in the water column has become of utterly importance for the adequate characterization of reservoirs changes during their exploration phase. In this study we revisit a previously suggested processing flow that is focused on the recovery of oceanographic coherent structures (DAGNINO et al., 2017), and propose some modifications. The main reason for this is our restriction to work with already processed (by 3rd parties) data, that was mostly guided to proper characterization of sub-sea floor geologic structures. We found that our re-processing flow is able to recover signatures of oceanic thermohaline structures, thus having a potential for further inversion focused on detailed water layer velocity reconstruction.

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The Role of Time Lapse(4D) Seismic Technology as Reservoir Monitoring and Surveillance Tool: A Comprehensive Review

Cited by 40 publications

References 57 publications

Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps

Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps

Connect the Dots: In Situ 4-D Seismic Monitoring of CO₂ Storage With Spatio-Temporal CNNs

Waveform-preserving processing flow of multichannel seismic reflection data for ocean thermohaline structure reconstruction (revisited)

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The Role of Time Lapse(4D) Seismic Technology as Reservoir Monitoring and Surveillance Tool: A Comprehensive Review

Cited by 40 publications

References 57 publications

Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps

Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps

Connect the Dots: In Situ 4-D Seismic Monitoring of CO2 Storage With Spatio-Temporal CNNs

Waveform-preserving processing flow of multichannel seismic reflection data for ocean thermohaline structure reconstruction (revisited)

Contact Info

Product

Resources

About

Connect the Dots: In Situ 4-D Seismic Monitoring of CO₂ Storage With Spatio-Temporal CNNs