.... Upstream Oil & Gas machine learning transient data reservoir parameter field data workflow nonlinear regression information application Horne parameter estimation society of petroleum engineers Artificial Intelligence pressure transient data algorithm reservoir model permeability...

... analysis completion variable upper bench middle Bakken completion design WOR hydraulic fracturing lateral length Williston Basin response variable three forks nonlinear regression proppant type completion optimization Introduction A number of tools were used to optimize completion...

... Abstract Nonlinear regression is a well-established technique in well test interpretation. However, this widely-used technique is vulnerable to issues commonly observed in real data sets, namely sensitivity to noise, parameter uncertainty, and dependence on starting guess. In this paper, we...