.../geometries of multi-wells in a well pad setting, providing valuable suggestions for well spacing optimizations. modeling & simulation artificial intelligence optimization problem hydraulic fracturing reservoir simulation drilling operation upstream oil & gas variance-covariance matrix...

..., which may serve as a particularly useful supplement to existing tools for unconventional development, such as decline curve analysis and reservoir simulation. fracturing materials machine learning artificial intelligence optimization problem upstream oil & gas hydraulic fracturing...

... and the slope of the second line. This is solved as an optimization problem to fit the actual data which results in solving for the inflection point coordinates and the slope of line after the inflection point. However, we observe that these wells do not always exhibit a constant slope after inflection...

... surveillance optimization problem pressure transient testing production control fluid dynamics artificial intelligence observation well hydraulic fracturing gauge reservoir simulation unconventional resource technology conference drillstem/well testing hfts-2 project history matching bone spring...

... optimization problem machine learning upstream oil & gas artificial intelligence information geological property workflow cumulative rate urtec 5441 global model model performance procedure complex reservoir well performance response variable algorithm delaware basin machine...

... in their scopes, but the existence of natural fractures indeed alters hydraulic fracture geometry through the natural-hydraulic fracture interaction (Dahi Taleghani and Olson, 2013). machine learning hydraulic fracturing artificial intelligence reservoir characterization optimization problem upstream...

... increased production. Thus, in the current work, the problem is posed as a classic constrained optimization problem and solved using Monte Carlo methods. Results show that in general, profitability of the production revenue is very sensitive to the reservoir recovery factor, porosity, drainage volume...

...). As we will see in the following optimization discussion, this capability allows us to leverage results from previously searched landscapes within and across different optimization problems. In contrast, note that this scenario is not possible with strictly physics-based simulation systems as they lack...

... and the most significant quantity in the optimization problem. Differential evolution (DE) algorithm and a multi-scale shale gas reservoir flow simulator are used during the optimization. We show that the RTA-based optimization predicts the quantities related to completion design significantly better. Further...

... hydraulic fracturing Artificial Intelligence complex reservoir optimization problem Simulation forecast quality variation window variability natural fracture hydrocarbon production shale gas Upstream Oil & Gas calibration workflow operational parameter development cost...

... unconventional reservoir development environment. Additionally, Xiong and Wu (2018) refer extensively to the hydraulic and propped half-lengths whereas it is the effective fracture half-length that is of interest in production and well spacing optimization problems. As illustrated in figure 1, Barree et al...

... dimensions of the model, we are able to simulate different pressure fluctuations at the wellhead. A novel workflow was also developed to link fracture dimensions to the observed field data. It utilizes an iterative ensemble smoother algorithm to solve the resulting optimization problem. The results...

... for the pad-specific well trajectories, stage locations, and timing of the treatment to yield results representative of the rock and fracture mechanics that drive offset well pressure observations. optimization problem objective function complex reservoir monitor stage Artificial Intelligence...

... using an exhaustive search method which can be computationally prohibitive using classical numerical simulation techniques. optimization problem Simulation child well DTOF Artificial Intelligence reservoir simulation fmm-based simulation fmm-based approach parent well Modeling...

... to calibrate the models. Artificial Intelligence Upstream Oil & Gas Completion Installation and Operations dominant fracture optimization problem optimal case History hydraulic fracturing reservoir simulator Pareto front landing depth nonuniform fracture cluster efficiency NPV society...

... real time system machine learning optimization problem Upstream Oil & Gas growth curve pressure spike fracture growth diverter drop Effectiveness pressure response Artificial Intelligence treatment pressure Diverter Effectiveness max pressure diverter hydraulic fracturing...

... events is warranted but could prove tedious and time consuming if done manually. Artificial Intelligence data series information application machine learning optimization problem reservoir modeling minimal cost path well pick well log picking Reservoir Characterization Upstream Oil...

... machine learning Artificial Intelligence reserves evaluation production control production forecasting hyperbolic model production monitoring exponential decline production data arp parameter bdf regime optimization problem diagnostic plot final arp parameter decline rate...

.... Reservoir Characterization optimization problem reservoir geomechanics Upstream Oil & Gas hydraulic fracturing natural fracture surface drilling data Artificial Intelligence pore pressure drilling data fracable rock information Ouene mechanical specific energy sweet spot image log...

... machine learning Artificial Intelligence dgn Upstream Oil & Gas regression reservoir simulation conditional realization vector history-matched model realization History flow response optimization problem gradient sensitivity matrix objective function production data...