Time-lapse pre-stack seismic inversion with thin bed resolution for CO2 sequestration from Cranfield, Mississippi

Zhang, Rui; Sen, Mrinal K.; Srinivasan, Sanjay

doi:10.1016/j.ijggc.2013.10.032

Cited by 11 publications

(11 citation statements)

References 42 publications

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“…It has been shown that techniques for estimating time shifts work best on zero‐offset prestack data and that migration and stacking introduce considerable noise (Kanu et al, ). Finally, there are different approaches for defining the seismic amplitude changes, depending on parameters such as the window length used in calculating the root mean square amplitude, and the estimated amplitude changes can and do vary between studies (Alfi et al, ; Carter, ; Ditkof, ; Zhang et al, ).…”

Section: Discussionmentioning

confidence: 99%

“…This assumption is supported by both crosswell seismic imaging and by vertical seismic profile monitoring (Ajo‐Franklin et al, ; Daley et al, ). For a thin reservoir, such as the D‐E sandstone unit of the lower Tuscaloosa Formation at Cranfield, there may be interference between the top and bottom reflection of the reservoir (Zhang et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…In this paper we reexamine seismic time‐lapse monitoring data associated with the injection of large amounts of carbon dioxide at the Cranfield site in Mississippi (Carter et al, ; Carter & Spikes, ; Ditkof, ; Zhang et al, , ), in light of a large‐scale multicomponent reservoir simulation (Alfi & Hosseini, ; Alfi et al, ). This combination of seismic analysis and fluid flow modeling is a follow‐on effort to the previous studies by Zhang et al, (, ), (Ditkof, ), and Carter (Carter & Spikes, ; Carter et al, ) to see if we can better understand the primary mechanisms responsible for time‐lapse changes and improve our predictions of the location of such changes, possibly reducing discrepancies between modeling results and observations. We extract simple and direct measures from the seismic data, the seismic amplitude changes for reflections from the top of the reservoir and time shifts incurred by seismic waves propagating through the reservoir, and compare them with predictions from the reservoir simulation.…”

Section: Introductionmentioning

confidence: 99%

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The Seismic Response to Injected Carbon Dioxide: Comparing Observations to Estimates Based Upon Fluid Flow Modeling

et al. 2019

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Time-lapse seismic amplitude differences and travel time shifts, obtained while monitoring enhanced oil recovery at Cranfield, Mississippi, reveal coherent changes that are associated with the injection of carbon dioxide. Rock physics modeling highlights the importance of the oil, brine, and gas content of pore fluids prior to the injection of carbon dioxide. For example, compressional velocity changes due to the injection of carbon dioxide can drop from 300 m/s to less than 100 m/s as the percentage of oil increases from 1% to 50%. Predictions based upon a new technique for modeling wave propagation in a poroelastic medium containing an arbitrary number of fluids, coupled with multicomponent numerical reservoir modeling at Cranfield, reproduce the general pattern of observed seismic amplitude changes and travel time shifts. In particular, time-lapse amplitude changes suggest a significant and widespread lowering of compressional velocities due to the injection of CO 2 into an aquifer bounding the oil rim of the reservoir. It appears that the large-scale variations in preexisting pore fluid content have a major influence on seismic velocity changes, even in the highly heterogeneous reservoir at Cranfield.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Seismic Response to Injected Carbon Dioxide: Comparing Observations to Estimates Based Upon Fluid Flow Modeling

et al. 2019

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“…4D seismic data were collected at the Cranfield CO 2 -EOR site to characterize the plume development during CO 2 injection [15,16,17,18]. Simulation studies on this field [19,20,21,22,23,24] show the importance for CO 2 -EOR performance of an appropriate permeability (facies) model, fluid distribution, boundary conditions in modeling field data, and injection/production strategies.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we compare 4D seismic interpretations of CO 2 plume distribution [15,17,18] with fluid-flow numerical simulation results for Cranfield, Mississippi.…”

Section: Introductionmentioning

confidence: 99%

Integration of reservoir simulation, history matching, and 4D seismic for CO2-EOR and storage at Cranfield, Mississippi, USA

Alfi

Hosseini

2016

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In this paper, we compare 4D seismic interpretations of CO 2 plume evolution with fluid-flow numerical simulation results for Cranfield, Mississippi. Historic pressure trends, oil and gas production rates, and current CO 2-EOR production data from the field were history matched, and a tuned model was used for predictive simulations. For CO 2-EOR operations, numerical simulation results of the CO 2 plume distribution and CO 2 first arrival (breakthrough) times in production wells were compared to the available field data. Three interpretations of 4D seismic data show discrepancies on the edges of the seismic survey, and along the sealing fault, where numerical simulations show high CO 2 saturations. In areas between these two limits, the match between simulation and 4D seismic interpretation improves. In addition, for most of the production wells, comparison of the breakthrough time of CO 2 showed a reasonable match. The tuned model was then used to predict reservoir response and storage capacity in different field development scenarios under CO 2 injection. We compared hypothetical scenarios where the operator transitions from CO 2-EOR to CO 2 injection without oil production (CO 2-EORT) when oil production is $ Abbreviations used in this paper: EOR (enhanced oil recovery), EORT (enhanced oil recovery transition), VRR (voidage replacement ratio), CCS (carbon dioxide capture and storage).

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Monitoring on CO2 migration in a tight oil reservoir during CCS-EOR in Jilin Oilfield China

Ren

Zhang

et al. 2016

Energy

138

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Time-lapse pre-stack seismic inversion with thin bed resolution for CO2 sequestration from Cranfield, Mississippi

Cited by 11 publications

References 42 publications

The Seismic Response to Injected Carbon Dioxide: Comparing Observations to Estimates Based Upon Fluid Flow Modeling

The Seismic Response to Injected Carbon Dioxide: Comparing Observations to Estimates Based Upon Fluid Flow Modeling

Integration of reservoir simulation, history matching, and 4D seismic for CO2-EOR and storage at Cranfield, Mississippi, USA

Monitoring on CO2 migration in a tight oil reservoir during CCS-EOR in Jilin Oilfield China

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