The recovery factor analysis technique involves the integration of hydrocarbon pore volume from a core-calibrated petrophysical analysis with the estimated ultimate recovery from the horizontal lateral.  When the hydrocarbon pore volume estimates are tied to production results, a model can be developed to both identify potential refrac candidate wells and zones and to assess …

The evolution to horizontal wellbores requires a similar evolution in measuring and monitoring wellbore production. Tools commonly used in vertical wellbores have not been adequately indicating horizontal production characteristics, and in many cases have not been utilized due to cost.  However, an approach taken by trending the internal wellbore data during the initial phase of …

Machine Learning encompasses data acquisition, transmission, retention, analysis, and knowledge. The expected outgrowth of 24x7 data systems and operations centers is Knowledge Engineering and Data Intensive Analytics AKA Machine Learning. This presentation will develop and apply Machine Learning concepts to the Upstream O&G industry. Specific focus will be given to the fundamental concepts and definitions …