Infill Well Portfolio Management under Uncertainty – Application to the 8 TH Reservoir, Austria
- Martin Sieberer (OMV) | Jörg Peisker (OMV) | Torsten Clemens (OMV) | Marco R. Thiele (Streamsim Technologies/Stanford University)
- Document ID
- Society of Petroleum Engineers
- SPE Europec featured at 79th EAGE Conference and Exhibition, 12-15 June, Paris, France
- Publication Date
- Document Type
- Conference Paper
- 2017. Society of Petroleum Engineers
- 7.1 Asset and Portfolio Management, 5.5 Reservoir Simulation, 1.1 Well Planning, 5 Reservoir Desciption & Dynamics, 5.1.5 Geologic Modeling, 7.2.1 Risk, Uncertainty and Risk Assessment, 7.2 Risk Management and Decision-Making, 7 Management and Information, 5.5.8 History Matching, 7.1.5 Portfolio Analysis, Management and Optimization, 1.6 Drilling Operations, 1.1 Well Planning
- Probabilistic Forecasting, Infill Wells, Incremental Oil, Mature Field, Well Portfolio
- 0 in the last 30 days
- 134 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 9.50|
|SPE Non-Member Price:||USD 28.00|
The risk of economic failure of infill drilling campaigns increases with the increasing maturity of an oil field. The increased risk is due to the lower remaining movable oil in the late stages of a field's life compared to earlier phases. Despite the additional information owing to drilling of wells and production history, substantial geological and dynamic uncertainties remain. In this paper, an approach is presented for selecting an infill well portfolio of 10 wells from a total of 96 that explicitly accounts for these uncertainties.
The geological uncertainty can be exposed by generating a multitude of geological models conditioned to known log/correlation data. These models need to be classified and a subset of representative models extracted that in turn are calibrated (history matched) to past field performance and then used for forecasting. Calibration using a suitable ensemble of representative geological models aims to maintain geological diversity while reducing the error to historical data through an objective function.
Probabilistic Property Maps can then be generated to identify potential infill well locations. Probabilistic maps offer a major improvement compared to selection of infill well locations using a single geological realization. For mature assets, forecasting requires simulation of incremental oil recovery since infill wells represent incremental projects over a base case. Using an appropriate ensemble of models allows probabilistic representation of the incremental oil production and associated economics.
First, individual infill well performances are forecasted. Next, the individual infill well locations are evaluated taking the history matching error into account and using utility theory to cover the risk adverseness attitude of the company. Doing so enables selection of an infill well portfolio under uncertainty and leads to a selection of well locations carrying lower risk compared to a selection of locations neglecting history match error and/or disregarding the risk attitude of a company.
|File Size||3 MB||Number of Pages||23|
Chiotoroiu, M.; Peisker, J.; Clemens, T. and Thiele, M.R. 2016. Forecasting Incremental Oil Production of a Polymer Pilot Extension in the Matzen Field Including Quantitative Uncertainty Assessment. Paper SPE 179546 presented at the SPE Improved Oil Recovery Conference. Tulsa. Oklahoma. USa. 11-13 April 2016.
Friedel, T.; Tewari, R.D.; Rasidi, Tg; Othman, Tg, Flew, S.; Strasser, R.; Trebolle, R.; Belfield, W.; and Caretta, F. 2009. Efficient Uncertainty Management Workflow for Brownfield Redevelopment. Paper SPE 125673 presented at the 2009 SPE/EAGE Reservoir Characterization and Simulation Conference. Abu Dhabi. UAE. 19-21 October 2009.
Jayanti, S.; Chopra, A.; Giordano, R.M.; Yuan, H.; Tie, H.; Suleimani, A.; Gheithy, A. and Edwards, C. 2007. Evaluation of Infill Drilling Opportunities in Lekhwair Field, Oman. Paper SPE 110784 presented at the 2007 SPE Annual Technical Conference and Exhibition. Anaheim. California. USA. 11-14 November 2007.
Kolsto, E.; Roste, T.; Husby, O.; Tyssekvam, J.A.A.; Moen, A.S.; Endresen, T. and Dawodu, N.K. 2008. Using 4D Seismic for Understanding Drainage Pattern and Optimizing Infill Wells Placement in a Heterogeneous and Compartmentalised Reservoir - Cases from the Heidrun Field - Extended Abstract. Paper IPTC 12519 presented at the International Petroleum Technology Conference. Kuala Lumpur, Malaysia. 3-5 December 2008.
Narayanasamy, R.; Davies, D.R. and Somerville, J.M. 2006. Well Location Selection From a Static Model and Multiple Realisations of a Geomodel Using Productivity-Potential Map Technique. Paper SPE 99877 presented at the SPE Europec/EAGE Annual Conference and Exhibition. Vienna. Austria. 12-15 June 2006.
Syarif, A.; Irwanzah, Z.; Handayani, T. and Dogra, S. 2013. Crosswell Seismic Guided 3D Seismic Interpretation Results in Successful Infill Well Location in Bunyu Field (Indonesia). Paper SPE 166490 presented at the SPE Annual Technical Conference and Exhibition. New Orleans. Louisiana. USA. 30 September – 2 October 2013.
Tilke, P.G.; Banerjee, R.; Halabe, V.B.; Balci, B.; Thambynayagam, M. and Spath, J. 2010. Automated Field Development Planning in the Presence of Subsurface Uncertainty and Operational Risk Tolerance. Paper SPE 135168 presented at the SPE Annual Technical Conference and Exhibition. Florence. Italy. 19-22 September 2010.