Application of intelligent well completion in optimising oil production from oil rim reservoirs
Abstract view|716|times PDF download|172|times
Abstract
Intelligent well application has proven useful in maximising oil production from oil rim reservoirs. Intelligent wells are equipped with downhole sensors and surface controlled downhole inflow control valves (ICVs) which should be strategically controlled by the operator. Challenges however arise in determining the best reactive control strategy (RCS). This paper seeks to develop an effective RCS (algorithm) that will maximise oil production and to ascertain how the proposed RCS will fare when porosity, permeability, oil-water contact and skin factor change. An anticlinal oil rim reservoir with a horizontal well was modelled and run using ECLIPSE 100. The well was later made intelligent by installing ICVs and a RCS was designed to control the valves. Three RCS were proposed but the algorithm that produced the maximum cumulative oil was selected to be the optimal. The intelligent well yielded more cumulative oil and gas than the conventional horizontal well. It also delayed water breakthrough and reduced cumulative water production. Sensitivity analysis on porosity, permeability and skin positively affects the developed reactive control strategy whereas oil water contact variations yielded poor results. Economic analysis of the intelligent well for 20 years showed that the application of the intelligent well completion in the oil rim reservoir was profitable.
Cited as: Broni-Bediako, E., Fuseini, N.I., Akoto, R.N.A., Brantson, E.T. Application of intelligent well completion in optimising oil production from oil rim reservoirs. Advances in Geo-Energy Research, 2019, 3(4): 343-354, doi: 10.26804/ager.2019.04.01
Keywords
Full Text:
PDFReferences
Adekunle, O.A. Intelligent well applications in production wells. Aberdeen, University of Aberdeen, 2012.
Adusu, P.T. Optimising candidate well selection for matrix stimulation-IPR approach. Paper SPE-198707-MS Pre-sented at SPE Nigeria Annual International Conference and Exhibition, Lagos, Nigeria, 5-7 August, 2019.
Aitokhuehi, L. Real-time optimization of smart wells. California, Stanford University, 2004.
Al-Ghareeb, Z.M. Monitoring and control of smart wells. California, Stanford University, 2009.
Amangaliyev, B. Advance workover modelling tool using 3D models. SIS Software Bulleting in Caspian Region, 2017.
Anon. Controlling excess water production. Anon. Oil and gas live overview. Aulisa, E., Bloshanskaya, L., Ibragimov, A. Long term dynamics for well productivity index for nonlinear flows in porous media. J. Math. Phys. 2011, 52(2): 1-26.
Broni-Bediako, E. Oil and gas project evaluation. Tarkwa, University of Mines and Technology, 2018.
Chang, Y.L. Simulation study on improved oil recovery for thin oil rims. Bandar Seri Iskandar, Universiti Teknologi PETRONAS, 2014.
Dilib, F.A., Jackson, M.D., Mojaddam Zadeh, A., et al. Closed-loop feedback control in intelligent wells: Application to a heterogeneous, thin oil-rim reservoir in the North Sea. SPE Reserv. Eval. Eng. 2015, 18(1): 69-83.
Huang, Z., Li, Y., Peng, Y., et al. Study of intelligent wells for liaohe field. Proc. Eng. 2011, 15: 739-743.
Kumar, M., Sharma, P., Gupta, D.K. Completion design optimization of multilateral well to maximize hydrocarbon production in bottom water drive reservoirs. Int. J. Eng. Dev. Res. 2016, 4(2): 897-906.
Mahmood, N., Sultan, Z., Yousof, N. A review on smart well completion system: route to the smartest recovery. International Conference on Petroleum Engineering, Dhaka, Bangladesh, 2016.
Masoudi, R., Karkooti, H., Othman, M.B. How to get most out of your oil rim. 6th International Petroleum Technology Conference, Beijing, China, 26-28 March, 2013.
Muhammad, B.R. Pressure as an indicator for water Breakthrough for horizontal well completion. Bandar Seri Iskandar, Universiti Teknologi PETRONAS, 2008.
Pinto, M.A.S., Barreto, C.E., Schiozer, D.J. Optimization of proactive control valves of producer and injector intelligent wells under economic uncertainty. Paper SPE-154511-MS Presented at SPE Europec/EAGE Annual Conference, Copenhagen, Denmark, 4-7 June, 2012.
Raoufi, M.H., Farasat, A., Mohammadifard, M. Application of simulated annealing optimization algorithm to optimal operation of intelligent well completions in an offshore Oil reservoir. J. Pet. Exp. Prod. Technol. 2015, 5(3): 327-338.
Raoufi, M.H., Mashishi, M. Optimization of flow control with intelligent well completions in a channelized thin oil rim. 73rd European Association of Geoscientists and Engineers Conference and Exhibition Incorporating SPE EUROPEC, Vienna, Austria, 23-26 May, 2011.
Robinson, M. Intelligent wells completions. J. Pet. Technol. 2003, 55(8): 57-59.
Sarkodie, K., Afari, S.A., Aggrey, W.N. Intelligent well technology-dealing with gas coning problems in pro-duction wells. Int. J. Appl. 2014, 4(5): 121-135.
Tarek, A. Reservoir Engineering Handbook 4th edition. UK, Elsevier Inc, 2010.
Refbacks
- There are currently no refbacks.
Copyright (c) 2019 The Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.