Reservoir model updating and value of information using probabilistic economic forecasting

Harpreet Singh, Sanjay Srinivasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents a probabilistic economic analysis procedure that accounts for uncertainty in production forecasts arising due to incomplete geologic information. In addition, this paper also presents a procedure to assess the worth of progressive updating of reservoir models using additional data in context of value of information. For the first objective, a workflow to model reservoir uncertainty and its economic analysis is presented and a procedure for probabilistic economic analysis using real options is developed. The workflow also demonstrates how to incorporate flow rate uncertainty in the real options valuation (ROV) calculations. For the second objective, we compared the value of new information obtained by either drilling an additional exploratory well or acquiring seismic for developing a reservoir model. The base case reservoir model is obtained by conditioning data along 5 production wells and the value of new information is assessed both in terms of uncertainty reduction and increase in economic returns. Comparison of economic forecast from ROV and discounted cash flow (DCF) approach shows an interesting contrast between the forecast results obtained from these two techniques for all sources of information. The forecast by DCF changes drastically after 2-3 years of production when compared with the forecast by ROV. ROV analysis preserves the uncertainty in reservoir characteristics till the very end of production, while the uncertainty in DCF decreases practically to zero at the end time of production. Even though in this particular case neither

Original languageEnglish (US)
Title of host publicationSociety of Petroleum Engineers - 18th Middle East Oil and Gas Show and Conference 2013, MEOS 2013
Subtitle of host publicationTransforming the Energy Future
PublisherSociety of Petroleum Engineers (SPE)
Pages981-1001
Number of pages21
ISBN (Print)9781627482851
DOIs
StatePublished - Jan 1 2013
Event18th Middle East Oil and Gas Show and Conference 2013: Transforming the Energy Future, MEOS 2013 - Manama, Bahrain
Duration: Mar 10 2013Mar 13 2013

Publication series

NameSPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings
Volume2

Other

Other18th Middle East Oil and Gas Show and Conference 2013: Transforming the Energy Future, MEOS 2013
CountryBahrain
CityManama
Period3/10/133/13/13

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Fuel Technology

Fingerprint Dive into the research topics of 'Reservoir model updating and value of information using probabilistic economic forecasting'. Together they form a unique fingerprint.

  • Cite this

    Singh, H., & Srinivasan, S. (2013). Reservoir model updating and value of information using probabilistic economic forecasting. In Society of Petroleum Engineers - 18th Middle East Oil and Gas Show and Conference 2013, MEOS 2013: Transforming the Energy Future (pp. 981-1001). (SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings; Vol. 2). Society of Petroleum Engineers (SPE). https://doi.org/10.2118/164265-ms