Uncertainty Analysis and Design Optimization of Gas-Condensate Fields
- Benson Lamidi Abdul-Latif (Saint Petersburg Mining University) | Ahmed Mohammed Fathi Elsharkawi (Alexandria University) | Tsikplornu Daniel Edem (Saint Petersburg Mining University)
- Document ID
- Society of Petroleum Engineers
- SPE Kuwait Oil & Gas Show and Conference, 15-18 October , Kuwait City, Kuwait
- Publication Date
- Document Type
- Conference Paper
- 2017. Society of Petroleum Engineers
- 7.2.3 Decision-making Processes, 2.4 Hydraulic Fracturing, 5.8 Unconventional and Complex Reservoirs, 2.4.1 Fracture design and containment, 3 Production and Well Operations, 5.8.8 Gas-condensate reservoirs, 2 Well completion, 5 Reservoir Desciption & Dynamics
- surrogate model, Monte Carlo simulation, condensate banking, Objective functions, gas-condensate fields
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Unlike conventional reservoir development, uncertainty analysis and design optimization of unconventional reservoirs have caught less attention because of a general notion that oil field production data analysis and computational methodologies and techniques can be applicable to unconventional reservoir developments. In order to predict production profiles in unconventional reservoirs, it is essential to understand the uncertainties and performance of unconventional reservoirs. In this paper, the most relevant factors influencing the production of gas-condensate in a domain of real data from gas condensate fields is investigated and reviewed.
To identify the major factors affecting the production of condensates from heterogeneous and ultra-low permeability reservoirs, third and fourth order factorial design (Box Behnken technique) were used on a domain of gas-condensate field data to perform the uncertainty analysis. A semi-analytical surrogate model for Monte Carlo analysis was also proposed in this paper.
Condensate blockage radius, reservoir permeability, well spacing, reservoir thickness; compressibility, initial pressure; fracture spacing and initial condensate saturation were noted to be the most substantial parameters influencing condensate production. Validation of the results proved that the proposed surrogate models for gas-condensate reservoirs could reliably be used to forecast condensate values in heterogeneous and ultra-low permeability reservoirs.
This paper also presents a semi-analytical model applicable to unconventional reservoirs to incorporate the effect of condensate banking in the design optimization of hydraulic fracturing. Analytical models for Darcy flow above and below the dew point pressures were considered whilst estimating the optimum fracture design in gas condensate reservoirs using Schechter's approach incorporating the effects of the condensate blockage radius.
|File Size||1 MB||Number of Pages||20|
Whitson, C. H. and Sunjerga, S. 2012. PVT in Liquid-Rich Shale Reservoirs. Presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 8–10 October. SPE-155499-MS. http://dx.doi.org/10.2118/155499-MS.
Yeten, B., Castellini, A., Guyaguler, B. et al. 2005. A Comparison Study on Experimental Design and Response Surface Methodologies. Presented at the SPE Reservoir Simulation Symposium, The Woodlands, Texas, 31 January–2 Feburary. SPE-93347-MS. http://dx.doi.org/10.2118/93347-MS.
Al-Anazi H., Al-Kanaan A., Pacheco E., and Rahim Z.: Evaluation and Selection of Stimulation Methods in Horizontal Gas Wells for Production Optimization Using Numerical Modeling of Well Performances, paper SPE 167090 presented at the SPE Unconventional Resources Conference and Exhibition – Asia Pacific, Brisbane, Australia; November 11-13, 2013.
Huerta Quinones, V. A. and Lanchimba, A. F. 2012. A Holistic Analysis Approach for Reservoir Modeling. Presented at the SPE Latin America and Caribbean Petroleum Engineering Conference, Mexico City, 16–18 April 2012. SPE-153387-MS. http://dx.doi.org/10.2118/153387-MS.
Huerta Quinones, V. A., Lanchimba, A. F. and Colonomos, P. 2010. Gas/Condensate Field Development Plan by Means of Numerical Compositional Simulation. Presented at the SPE Latin American and Caribbean Petroleum Engineering Conference, Lima, Peru, 1–3 December. SPE-138886-MS. http://dx.doi.org/10.2118/138886-MS.
Kalantari Dahaghi, A., Esmaili, S. and Mohaghegh, S. D. 2012. Fast Track Analysis of Shale Numerical Models. Presented at the SPE Canadian Unconventional Resources Conference, Calgary, 30 October–1 November. SPE-162699-MS. http://dx.doi.org/10.2118/162699-MS.
Khosravi, M., Fatemi, S. and Rostami, B. 2011. Assessing Structured Uncertainty in a Mature Fractured Reservoir, Using Combination of Response Surface Method and Reservoir Simulation. Presented at the SPE Reservoir Characterization and Simulation Conference and Exhibition, Abu Dhabi, 9–11 October. SPE-148003-MS. http://dx.doi.org/10.2118/148003-MS.
Landa, J. L. and Guyaguler, B. 2003. A Methodology for History Matching and the Assessment of Uncertainties Associated with Flow Prediction. Presented at the SPE Annual Technical Conference and Exhibition, Denver, 5–8 October. SPE-84465-MS. http://dx.doi.org/10.2118/84465-MS.
Manceau, E., Mezghani, M., Zabalza-Mezghani, I.. 2001. Combination of Experimental Design and Joint Modeling Methods for Quantifying the Risk Associated With Deterministic and Stochastic Uncertainties - An Integrated Test Study. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, 30 September–3 October. SPE-71620-MS. http://dx.doi.org/10.2118/71620-MS.
Matlab. 2013. MathWorks Inc., www.mathworks.com/products/matlab/. Mohaghegh, S. D. 2006. Quantifying Uncertainties Associated With Reservoir Simulation Studies Using a Surrogate Reservoir Model. Presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 24–27 September. SPE-102492-MS. http://dx.doi.org/10.2118/102492-MS.
Orangi, A., Nagarajan, N. R., Honarpour, M. M.. 2011. Unconventional Shale Oil and Gas-Condensate Reservoir Production, Impact of Rock, Fluid, and Hydraulic Fractures. Presented at the SPE Hydraulic Fracturing Technology Conference, The Woodlands, Texas, 24–26 January. SPE-140536-MS. http://dx.doi.org/10.2118/140536-MS.
Panja, P., Conner, T. and Deo, M. 2013. Grid Sensitivity Studies in Hydraulically Fractured Low Permeability Reservoirs. J. Pet. Sci. Eng. 112 (December): 78–87. http://dx.doi.org/10.1016/j.petrol.2013.10.009.
Peng, C. Y. and Gupta, R. 2003. Experimental Design in Deterministic Modelling: Assessing Significant Uncertainties. Presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, Jakarta, 9–11 September. SPE-80537-MS. http://dx.doi.org/10.2118/80537-MS.
Texas Railroad Commission. 2015. Texas, United States, www.rrc.state.tx.us.
Venkataraman, R. 2000. Application of the Method of Experimental Design to Quantify Uncertainty in Production Profiles. Presented at the SPE Asia Pacific Conference on Integrated Modelling for Asset Management, Yokohama, Japan, 25–26 April. SPE-59422-MS. http://dx.doi.org/10.2118/59422-MS.