Stochastic Analysis of Resource Plays: Maximizing Portfolio Value and Mitigating Risks

Author:

Allan Paul D.1

Affiliation:

1. Portfolio Decisions International, LP

Abstract

Abstract This paper outlines a method for applying stochastic representations of key macro-economic parameters and risks in evaluating the portfolio value of resource plays. Stochastic pricing, costs forecasts, and regulatory uncertainties are often neglected or improperly applied when evaluating what are typically considered to be ‘low risk’ resource opportunities. Portfolio allocation and project development timing may be critically dependent upon these macro-economic variables, particularly given the long production life and operationally intensive nature of many resource opportunities. The techniques described in this paper will allow corporate planners and E&P executives to better leverage their opportunity inventory and ensure resource play development plans are in alignment with stochastic pricing or other macro-economic forecasts. A model of a typical E&P portfolio with numerous resource plays will be used to demonstrate the basic methodologies and the insights made possible through application of these techniques. This will include analysis of leasing options, pilot project evaluation, development timing and pacing options, and portfolio balance under various macro-economic conditions. The characteristics of project level analysis will be contrasted to the decisions and insights made possible via a holistic portfolio based approach.

Publisher

SPE

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A portfolio optimization model for a large number of hydrocarbon exploration projects;Proceedings of the International Conference on Business Excellence;2018-05-01

2. A review of the technical and economic evaluation techniques for shale gas development;Applied Energy;2015-06

3. Identification of Shale Sweet Spots Using Key Property Estimates from Log Analysis and Geostatistics;Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013;2013-08-14

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