Prediction and uncertainty quantification of shale well performance using multifidelity Monte Carlo

Author:

Mehana MohamedORCID,Pachalieva AleksandraORCID,Kumar AshishORCID,Santos Javier,O'Malley Daniel,Carey William,Sharma Mukul,Viswanathan HariORCID

Funder

Laboratory Directed Research and Development

Los Alamos National Laboratory

U.S. Department of Energy

Office of Sex Offender Sentencing, Monitoring, Apprehending, Registering, and Tracking

Office of Fossil Energy and Carbon Management

National Nuclear Security Administration

Publisher

Elsevier BV

Reference35 articles.

1. Resource evaluation for shale gas reservoirs;Dong;SPE Econ. Manag.,2013

2. A Multifidelity Control Variate Approach for the Multilevel Monte Carlo Technique;Geraci,2015

3. A Multifidelity Multilevel Monte Carlo Method for Uncertainty Propagation in Aerospace Applications, 19th AIAA Non-deterministic Approaches Conference;Geraci,2017

4. Probabilistic Decline Curve Analysis Reliably Quantifies Uncertainty in Shale Gas Reserves Regardless of Stage of Depletion;Gonzalez,2012

5. Reduced order models of transient CO2 and brine leakage along abandoned wellbores from geologic carbon sequestration reservoirs;Harp;Int. J. Greenh. Gas Control,2016

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