Evaluation of the Impact of Inter-Reservoir Communication on Resource Volume via Material Balance Multi Tank Model

Mogbolu, Emmanuel; Okereke, Onyedikachi; Olatope, Victor; Onobrudu, Portia; Olubamise, Taiwo; Ukauku, Ikwan

doi:10.2118/184349-ms

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…MBAL had already been used to determinereserves for developed and producing reservoirs that are in communication via non-sealing faults [9]. It has also been used in reservoirs evaluation of developed reservoirs that have been compartmentalized due to intra reservoir shale [11]. Most reservoirs in the Niger Delta fall into these categories due to complex faulting, hence the use of multi tank model to provide a better description of our reservoirs [10].…”

Section: Introductionmentioning

confidence: 99%

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Performance Prediction of Niger Delta Reservoir BUZA Using Allocation Tool

Kerunwa¹

2019

OGCE

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Predicting the performance of reservoirs help engineers to evaluate reserves, carryout development planning which requires thorough understanding of the reservoir characteristics, develop a model that can mimic the physical processes occurring in the reservoir such that forecast can be made with reasonable accuracy. This study used the material balance software, MBAL which is an allocation tool to evaluate the reserves of reservoir Buza and thereafter predictions were carried out on the reservoir. This was achieved by determining the dominant energy in the reservoir, performing non-linear regression on the uncertain parameters and performance predictions to obtain cumulative oil production and recovery factor. The results obtained showed that water injection at an average rate of 22000STB/D was the main energy in the reservoir providing about 68% of the total energy in the system. The recovery forecast at 31/12/2022 will be 42.8% with cumulative oil production of 98MMSTB. These results are necessary and important for reservoir engineers and policy makers in reservoir management.

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Section: Introductionmentioning

confidence: 99%

“…This method has been used to evaluate the impact of inter reservoir communication between two reservoirs. It was adopted due to shorter simulation time to use the information to make management decisions and future development plans [11].…”

Section: Introductionmentioning

confidence: 99%

Performance Prediction of Niger Delta Reservoir BUZA Using Allocation Tool

Kerunwa¹

2019

OGCE

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Brown Field Value Realization Via Gas Lift Deployment: A Case Study of NAMUB Field

Mogbolu

Agbor

Ukeko

et al. 2017

Day 2 Tue, August 01, 2017

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The primary focus of a wells, reservoir and facilities management team is to guaranty shareholders value by improving production and optimize recovery. Several best practices abound in the industry to achieve this goal. Some screening criteria are used during integrated field reviews to benchmark identified opportunities and rank/select viable candidates for execution. This screening criteria includes: economic ranking, reserves, doability and regulatory policies. The resulting unconventional study allows for a better reservoir management plan. This paper presents an integrated methodology utilized to restore oil production for a brown field via gaslift project. This was applied in the NAMUB Field case and the information obtained can be applied on other fields with similar scenarios. In the case of NAMUB field, the estimation of the incremental oil resource volume was estimated using Material Balance models that are calibrated with pressure data and history matched. The field did not meet up with conventional screening criteria for Gaslift Project. This is due to technical, non-technical and economic reasons. The field studied is composed of stacked reservoirs that have not had oil production for about ten years. Therefore, it was pertinent that a project had to be executed to restore/ carry out oil rim development. This was further made expedient due to the gas cap blowdown of the reservoirs. The continuous gas development impacted on the recovery of oil and further eroded oil resource volume. This integrated study comprised of Surface Engineering disciplines, Petroleum Engineering/ Geoscience disciplines, Economists and Business Planners. The outcome of inter-reservoir communication studies and sensitivity analyses was integrated to manage uncertainties leading to robust outcomes. The results obtained were not benchmarked against any previous one, as this was a unique step out scenario the company had to deal with. The performance of the 5 wells will be monitored against actual production to validate the methods and processes adopted in this study. The integrated approach used in the study across the diverse disciplines allowed for seamless delivery of the project.

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Best Practices in Evaluating Production Performance: A Niger Delta Case Study with Inter-Reservoir Communication

Mogbolu¹,

Awa²,

Ekwealor³

et al. 2019

Day 3 Wed, August 07, 2019

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Uncertainty management for resource volume of a brown field is relevant. An analytical approach via dynamic model was used to evaluate this impact on a developed gas reservoir (brown) by two other reservoirs. One of them is a green oil-rim reservoir, while the other is a developed oil reservoir. This is due to sand-to-sand juxtaposition with the two reservoirs. Integration of available data over time, while considering all the reservoir uncertainties was adopted. This was buttressed by the continuous production from the gas reservoir, that had already gone past the initially evaluated Gas Initially in Place (GIIP). The brown reservoir is a highly faulted gas reservoir with twenty-seven (27) years production history, by seven wells. The reservoir's GIIP re-evaluation had been done twice over the years. This was because it had fully developed its ultimate recovery, with three wells still producing. This GIIP re-evaluation approach could no longer be utilized, as it had very good well coverage. Fault seal analysis, pressure, PVT sample and log data taken over time reveal the likelihood of communication across the stacked reservoirs. A multi-tank material balance model (MBAL) was built via a multidisciplinary approach. The model was history matched using an experimental design approach that saved time and contacts were calibrated. The result showed the quantity of hydrocarbon in both reservoirs that have flowed into the developed gas reservoir. This provides a snapshot on the resource volume impact of the reservoirs with respect to their development and uncertainty management. Revised development plans and resource booking for the reservoirs are also study outcomes. This is relevant for business decisions on resource volume booking and reservoir management. This approach is a quick win within the Well, Reservoir and Facility Management (WRFM) workspace. Further work by building a 3D simulation model and pressure data acquisition is required for robust benchmarking.

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Evaluation of the Impact of Inter-Reservoir Communication on Resource Volume via Material Balance Multi Tank Model

Cited by 3 publications

References 7 publications

Performance Prediction of Niger Delta Reservoir BUZA Using Allocation Tool

Performance Prediction of Niger Delta Reservoir BUZA Using Allocation Tool

Brown Field Value Realization Via Gas Lift Deployment: A Case Study of NAMUB Field

Best Practices in Evaluating Production Performance: A Niger Delta Case Study with Inter-Reservoir Communication

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