Using Material Balance (MBAL) Multi Tank Model to Evaluate Future Well Performance in Reservoirs with Distinct Geological Units

Mogbolu, Emmanuel; Okereke, Onyedikachi; Okporiri, Cyril; Ukauku, Ikwan; Esharegharan, Ovokerhoyi; Taiwo, Isaac; Sukubo, Ibianga

doi:10.2118/178484-ms

Cited by 6 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Material balance is an analytical tool that allows the analysis, evaluation and prediction of the performance of hydrocarbon reservoir system [7]. The ease with which the material balance technique can be applied allows for faster decision making concerning oil and gas reservoir management compared to 3D numerical simulation [8]. The material balance equation (MBE) carries out resource volume allocation by considering the different time intervals in the depletion history of a reservoir ensuring volumes conservation [9].…”

Section: Introductionmentioning

confidence: 99%

“…The MBAL multi-tank model is regarded as an approximate model to a full field model for developed reservoirs in communication with undeveloped reservoirs [9]. The use of MBAL to investigate communication of reservoirs due to sand to sand juxtaposition of reservoirs based on fault seal analysis is due to the availability geologic data [8]. MBAL had already been used to determinereserves for developed and producing reservoirs that are in communication via non-sealing faults [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Performance Prediction of Niger Delta Reservoir BUZA Using Allocation Tool

Kerunwa¹

2019

OGCE

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance Prediction of Niger Delta Reservoir BUZA Using Allocation Tool

Kerunwa¹

2019

OGCE

View full text Add to dashboard Cite

show abstract

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

et al. 2016

View full text Add to dashboard Cite

A multi-tank model is presented that was used to evaluate the volume of gas produced from an undeveloped gas reservoir as a result of sand-to-sand juxtaposition with a developed oil rim reservoir. An innovative approach of using Microsoft Excel via OpenServer to link MBAL model to history match reservoir pressures in a multi-tank model, while considering all the reservoir uncertainties was adopted. The process helps to save time in Reservoir Management. An oil rim reservoir with future gas development seemed to be communicating with an undeveloped gas reservoir via sand to sand juxtaposition based on the pressure data taken during the drilling of one of the wells and fault seal analysis. This clearly showed depletion in the undeveloped gas reservoir. Through a multidisciplinary approach, the two reservoirs were built into tank models and connected using a transmissibility model. The resultant model was history matched using an experimental design approach and contacts calibrated prior to running simulation and prediction. The result showed the quantity of Gas Initially in Place (GIIP) in the undeveloped reservoir that has flowed into the developed reservoir and has possibly been produced already. This insight provides a quick analytical understanding on the resource volume impact of this phenomenon on both reservoirs with respect to their future gas development. This has led to the need for a revised development plan for both reservoirs with respect to future gas production. The novelty of the use of experimental design with MBAL multi-tank model in this scenario is in the ability to history match the model in reasonable time. This is achieved while effectively managing reservoir uncertainties. This is critical for key business decisions on reserves booking, business planning, general reservoir management and production.

show abstract

Capturing Complex Reservoir Heterogeneity in a Field Under Water Injection – A Case Study of a Niger Delta Field

Nanaghan

2016

SPE Annual Technical Conference and Exhibition

View full text Add to dashboard Cite

Structural heterogeneity is one of the critical factors that can affect a reservoir's performance, properties and thus, its ultimate recovery. With the decline in oil price and continuous drive for cost optimisation, understanding the impact of such features on reservoir behaviour in terms of pressure communication, fluid movement, production and well placement becomes paramount. In this research paper, the main study subject is a compartmentalised reservoir in a mature Niger Delta field undergoing water injection. Two blocks in the reservoir separated by a fault mapped from the seismic which was believed to be non-sealing as initial pressure data acquired from both blocks through aRepeat Formation Test(RFT) were similar; suggesting that these blocks were in hydraulic communication. Production started from the western block in 2001, and after few years of production, a significant drop in reservoir pressure was observed. To arrest this pressure decline, water injection into the reservoir commenced in 2011. After four years of injection, a substantial increase in reservoir pressure was observed as confirmed from static bottom hole pressure surveys from existing wells in the block. With the successful implementation of pressure maintenance and oil being swept updip structure as suggested by the history matched reservoir model, infill well opportunities were identified in the western and eastern parts of the A block. In order to properly land these wells, reduce production uncertainty and ensure its successful production, a pilot hole was drilled into these blocks to ascertain current fluid contacts and reservoir pressure. Information from the RFT was however surprising as reservoir pressure in the eastern block was found to be significantly depleted contrary to expectations; as similar pressure with the western block was expected since there was no producer in this block. This paper describes how an integrated approach resulted in significant cost saving and how an analytical tool like the multi tank material balance methods was used to effectively characterise a complex reservoir under water injection and revise the field redevelopment plan.

show abstract

Using Material Balance (MBAL) Multi Tank Model to Evaluate Future Well Performance in Reservoirs with Distinct Geological Units

Cited by 6 publications

References 3 publications

Performance Prediction of Niger Delta Reservoir BUZA Using Allocation Tool

Performance Prediction of Niger Delta Reservoir BUZA Using Allocation Tool

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

Capturing Complex Reservoir Heterogeneity in a Field Under Water Injection – A Case Study of a Niger Delta Field

Contact Info

Product

Resources

About