Reservoir Performance Prediction using Integrated Production Modelling (MBAL Software)
Prathmesh Sapale1, Vishesh Bhadariya2, Ashok Kumar Achari N3, Nitesh Paliwal4, Vandavasi Sreeharsha5
1Prathamesh Sapale*, Department of chemical engineering, Assistant Professor, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur, Andhra Pradesh, India.
2Vishesh Bhadariya Department of Petroleum Engineering, Indian School of Mines, Dhanbad, Jharkhand, India
3Ashok Kumar Aachari N. B. tech, Department of chemical Engineering, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur, Andhra Pradesh, India
4Nitesh Paliwal, Department of chemical engineering, Assistant Professor, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur, Andhra Pradesh, India.
5Shreeharsha Vandavasi, Department of chemical engineering, Assistant Professor, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur, Andhra Pradesh, India.

Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 1484-1489 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7627118419/2019©BEIESP | DOI: 10.35940/ijrte.D7627.118419

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Abstract: Reservoir performance prediction is important aspect of the oil & gas field development planning and reserves estimation which depicts the behavior of the reservoir in the future. Reservoir production success is dependent on precise illustration of reservoir rock properties, reservoir fluid properties, rock-fluid properties and reservoir flow performance. Petroleum engineers must have sound knowledge of the reservoir attributes, production operation optimization and more significant, to develop an analytical model that will adequately describe the physical processes which take place in the reservoir. Reservoir performance prediction based on material balance equation which is described by Several Authors such as Muskat, Craft and Hawkins, Tarner’s, Havlena & odeh, Tracy’s and Schilthuis. This paper compares estimation of reserve using dynamic simulation in MBAL software and predictive material balance method after history matching of both of this model. Results from this paper shows functionality of MBAL in terms of history matching and performance prediction. This paper objective is to set up the basic reservoir model, various models and algorithms for each technique are presented and validated with the case studies. Field data collected related to PVT analysis, Production and well data for quality check based on determining inconsistencies between data and physical reality with the help of correlations. Further this paper shows history matching to match original oil in place and aquifer size. In the end conclusion obtained from different plots between various parameters reflect the result in history match data, simulation result and Future performance of the reservoir system and observation of these results represent similar simulation and future prediction plots result.
Keywords: Performance Prediction, MBAL, Reservoir Simulation, History Matching.
Scope of the Article: Regression and Prediction.