... Abstract Estimation of original hydrocarbons in place is a fundamental responsibility of a practicing reservoir engineer and is essential for constraining production forecasts and reserves estimates within physically reasonable bounds. In traditional reservoir engineering, most non-empirical...

... simulation information different depletion scenario child well parent well depletion production forecast workflow quantify fracture depletion scenario development strategy parent-child effect hydraulic fracture reservoir depletion history urtec 1035 pan american energy scenario URTeC...

... surrounding main hydraulic fractures, the shorter fracture geometry posterior distributions were obtained compared with the case of hydraulic fractures only (without EPA). This causes the production forecast of the case with EPA to be significantly lower than the one with only hydraulic fractures (without EPA...

..., geological, geomechanical, hydraulic fracture, and production forecast models validated at each step in the workflow. In the case of these wells, the completion design "Case 3" was identified as the best completion strategy from an economic standpoint, significantly increasing ROI and NPV. The planned frac...

... reservoir Reservoir Characterization hydraulic fracturing Thickness production forecast realization information total gas production geological property Eagle Ford pilot well completion parameter geostatistical modeling production profile geological realization prediction horizontal producer...

... currently being implemented in the Upper Duvernay was used to determine hydraulic fracture geometry based on the various in situ stress profiles. Black oil PVT models were built to run numerical reservoir simulation production forecasts to understand the effect of variations in geomechanical properties...

... robust forecasts by considering a range of possible results. However, one important aspect that conditions the production forecasts and their uncertainty is the design of a suitable prior distribution, which can be subjective. To address the aforementioned issue, this paper presents a workflow...

... control Bayesian Inference machine learning Artificial Intelligence Reservoir Surveillance accuracy prediction Midland Basin Upstream Oil & Gas well performance production data drilling operation production forecast allocation production monitoring algorithm public data Directional...

... Abstract Stochastic modeling provides a mechanism for incorporating risk and uncertainty considerations into portfolio production forecasts. Through this process, insight is gained into the likelihood of production targets being missed, met, or exceeded. This insight enables organizations...