Material Balance Modelling of Hydraulically Connected Reservoirs in a Single System: Case Studies

Nwaokorie, Chukwuemeka; Ukauku, Ikwan; Emelle, Chima

doi:10.2118/167561-ms

Cited by 9 publications

(1 citation statement)

References 3 publications

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“…MBAL has been used to narrow down uncertainites around in place volume and presence of faults [Eugene 2004], capturing complex Dynamic Behaviour [Mazloom 2007], modelling of hydraulically connected reservoirs [Nwaokorie 2013], Analysis in Complex Mature Reservoirs [Bui 2006]. This paper compares history match and production profiles from MBAL and 3D simulation.…”

Section: Introductionmentioning

confidence: 99%

Material Balance Modeling and Performance Prediction of a Multi-Tank Reservoir

Idogun¹,

Jeboda²,

Charles³

et al. 2015

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Recent reservoir studies have shown great strides in capturing complex multi-tank reservoir systems using Material balance (MBAL®) model especially when these tanks are hydraulically connected. The preference of a simple and quick material balance method over numerical simulation is justified when time and budget constraints may hamper full field simulation modelling. The subject reservoir for this study is a mature hydraulically connected tank under waterflood. This paper compares reserves estimation using predictive material balance and dynamic simulation after history matching both models.Results from this paper shows that for multi-tank modeling using of hydraulically connected reservoirs using MBAL, transmissibility modeling & aquifer modelling are key factors in achieving reasonably reliable MBAL models. A good understanding of the reservoir fault frame work and connectivity, adequate & reliable BHP, injection and production data are very important for attaining a good history match & model calibration. Results of this study show a good comparison between the Reserves estimate from both MBAL and that from dynamic simulation. Under the appropriate conditions, Predictive Material Balance is a quick alternative tool to reservoir simulation in reservoir performance prediction especially when time & resources are limited. Also, predictive material balance analysis should be applied in reservoir where the existing wells have adequate data to build reliable inflow & out flow models.

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Section: Introductionmentioning

confidence: 99%

Material Balance Modeling and Performance Prediction of a Multi-Tank Reservoir

Idogun¹,

Jeboda²,

Charles³

et al. 2015

All Days

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

Mogbolu¹,

Okereke²,

Okporiri³

et al. 2015

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A quick evaluation of reserves for new opportunities (e.g. perforation extension and other work over types) in reservoirs with distinct geological units and features is possible using a multi tank MBAL option. This saves time while still having results closely matching more detailed simulation models besides reservoir management due to subsurface uncertainties. In cases where a reservoir is naturally separated into units with the aquifer as the only common communication base or where there are constricting saddles which in production time allows preferential sweeping of the reservoir posits the possibility of separate tanks. Multi-tank MBAL has been used in this scenario to generate a production forecast for a work over opportunity in Reservoirs A, B & C. This methodology transmits the segregated accumulations of the reservoirs into tank sectors and connects them using transmissibility value to a common aquifer leg in a multidisciplinary approach. Resultant model is history matched and contacts calibrated prior to prediction especially when present contact information exists. The methodology as opposed to a single tank MBAL model gives better calibration of contact movement and forecast of the future and existing opportunities, thus giving credence to more robust reservoir management plan and resource volume estimation for the work over project. The MBAL multi tank methodology is a handy improvement tool for brownfield production forecast within the Wells, Reservoir & Facility Management domain especially where no 3D dynamic models exist.

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

et al. 2016

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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.

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Material Balance Modelling of Hydraulically Connected Reservoirs in a Single System: Case Studies

Cited by 9 publications

References 3 publications

Material Balance Modeling and Performance Prediction of a Multi-Tank Reservoir

Material Balance Modeling and Performance Prediction of a Multi-Tank Reservoir

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

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

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