Recorded: Wednesday, October 10, 2018
In this webcast, experts in big data present a new systematic process for the evaluation of oil and gas asset portfolios, where the performance and economic value of the entire portfolio are computed very quickly. The automation of this workflow relies on a proprietary data-driven solution that contains key technological components, including patented mathematical algorithms that analyze information for an entire portfolio of fields, such as decline rates, decline trends, recent well performance, field/well/operator ranking and reserves. The final deliverable is a fully interactive user-interface (UI) with key performance indicators (KPIs) that allows the user to review the history, current condition and expected future performance of the portfolio. This technology has been effectively used in the valuation of oil and gas portfolios for M&A, asset evaluations for A&D, and to prioritize future investments by obtaining a high-level, up-to-date understanding of all assets in a portfolio.
Dr. David Castiñeira, CTO & VP, Quantum Technologies & Automation at QRI
Ruth Black, Team Leader, Corporate Analytics at QRI
Craig Fleming, Technical Editor, World Oil
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