Monitoring the Ormen Lange Field with 4D Gravity and Seafloor Subsidence

Vatshelle, M.; Glegola, M.; Lien, Martha; Noble, Tyler J.; Ruíz, Hugo Alberto

doi:10.3997/2214-4609.201700484

Cited by 8 publications

(4 citation statements)

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“…According to the methodology, gravity anomalies related to seafloor movement do not reach the detectability limit (3 µGal) but are in its order of magnitude (between −0.2 and 1.6 µGal, Figure 16). The order of magnitude of the time-lapse gravity anomalies calculated in all scenarios of some µGal agrees with the 4D anomalies obtained in real measurements in the North Sea [8,16,19]. We draw the readers' attention to the fact that several parameter combinations related to the reservoir in production could result in detectable anomalies due to seafloor changes.…”

Section: Discussionsupporting

confidence: 81%

“…The measure of seafloor deformation is crucial to reduce the risks of human exposure and production facilities. At last, seafloor 4D gravity is a relatively fast, cost-effective, and environmentally friendly geophysical method that can be used complementary to 4D seismic surveys [3,5,8,9,15,18,19].…”

Section: Introductionmentioning

confidence: 99%

“…Several studies performed all over the world in the last two decades show the efficiency of the seafloor 4D gravity technique. These include feasibility studies, survey improvements, time-lapse gravity processing, application of inversion methods, use of borehole and gravity gradiometry information, and real data interpretation [7,[10][11][12]16,17,[19][20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

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Feasibility of 4D Gravity Monitoring in Deep-Water Turbidites Reservoirs

et al. 2023

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We present a seafloor 4D gravity feasibility analysis for monitoring deep-water hydrocarbon reservoirs. To perform the study, we have simulated the gravity effect due to different density and pore pressure distributions derived from a realistic model of a turbiditic oil field in Campos Basin, offshore Brazil. These reservoirs are analogs of several other passive-margin turbiditic systems located around the world. We considered four reservoir scenarios including and not including seafloor subsidence. Our results indicate that the gravity responses are higher than the feasible value of 3 μGal 12 years following the base survey. The area of maximum gravity anomaly corresponds to where we suppose hydrocarbon extraction occurs. A maximum seafloor subsidence of 0.6 cm was estimated, resulting in no detectable gravity effects. Our results endorse the 4D seafloor gravity acquisition as a beneficial tool for monitoring deep-water passive-margin turbiditic reservoirs.

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Section: Discussionsupporting

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Feasibility of 4D Gravity Monitoring in Deep-Water Turbidites Reservoirs

et al. 2023

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“…Gravimetric methods have been used in many monitoring case studies, e.g., reservoir production monitoring, see, e.g., [37,79,81]. The measured gravitational field in monitoring studies is sensitive to changes in density.…”

Section: Introductionmentioning

confidence: 99%

Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

et al. 2020

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A sequential inversion methodology for combining geophysical data types of different resolutions is developed and applied to monitoring of large-scale CO 2 injection. The methodology is a two-step approach within the Bayesian framework where lower resolution data are inverted first, and subsequently used in the generation of the prior model for inversion of the higher resolution data. For the application of CO 2 monitoring, the first step is done with either controlled source electromagnetic (CSEM) or gravimetric data, while the second step is done with seismic amplitude-versus-offset (AVO) data. The Bayesian inverse problems are solved by sampling the posterior probability distributions using either the ensemble Kalman filter or ensemble smoother with multiple data assimilation. A model-based parameterization is used to represent the unknown geophysical parameters: electric conductivity, density, and seismic velocity. The parameterization is well suited for identification of CO 2 plume location and variation of geophysical parameters within the regions corresponding to inside and outside of the plume. The inversion methodology is applied to a synthetic monitoring test case where geophysical data are made from fluid-flow simulation of large-scale CO 2 sequestration in the Skade formation. The numerical experiments show that seismic AVO inversion results are improved with the sequential inversion methodology using prior information from either CSEM or gravimetric inversion.

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Monitoring of Large‐Scale CO ₂ Injection Using CSEM, Gravimetric, and Seismic AVO Data

Tveit¹,

Mannseth²

2022

Geophysical Monitoring for Geologic Carbon Storage

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Monitoring the Ormen Lange Field with 4D Gravity and Seafloor Subsidence

Cited by 8 publications

References 0 publications

Feasibility of 4D Gravity Monitoring in Deep-Water Turbidites Reservoirs

Feasibility of 4D Gravity Monitoring in Deep-Water Turbidites Reservoirs

Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

Monitoring of Large‐Scale CO ₂ Injection Using CSEM, Gravimetric, and Seismic AVO Data

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Monitoring the Ormen Lange Field with 4D Gravity and Seafloor Subsidence

Cited by 8 publications

References 0 publications

Feasibility of 4D Gravity Monitoring in Deep-Water Turbidites Reservoirs

Feasibility of 4D Gravity Monitoring in Deep-Water Turbidites Reservoirs

Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

Monitoring of Large‐Scale CO 2 Injection Using CSEM, Gravimetric, and Seismic AVO Data

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Monitoring of Large‐Scale CO ₂ Injection Using CSEM, Gravimetric, and Seismic AVO Data