... Abstract Over the past several decades, Arps decline curve analysis (DCA) has proved to be effective and efficient for production forecasts and EUR estimates due to its simplicity and applicability. However, as multi-stage hydraulically-fractured horizontal wells have unlocked the economic...

... Abstract The development of unconventional reservoirs is strongly affected by the reliability of the production forecast and project economics. This paper has addressed these issues by analyzing the performance of several wells using both analytical and numerical modeling. For instance, after...

... Abstract Horizontal wells placement and production forecast of unconventional assets play critical roles in the success or failure of any given operation. Traditional reservoir simulation workflows are ineffective for unconventional assets and often lead to erroneous results in addition...

... in heterogeneous fractured reservoirs. pressure transient analysis production control modeling & simulation artificial intelligence complex reservoir upstream oil & gas boundary condition tight gas pressure transient testing heterogeneity production monitoring production forecasting...

... the partial solution to the optimization problem as a function of production history. Results from this work provide sufficient evidence as to why traditional decline curve analysis (DCA) is not a suitable solution for production forecasting in unconventional reservoirs. Two case studies are discussed...

... transforms are not required. reservoir characterization production monitoring production logging production control flow in porous media equation of state production forecasting pvt measurement complex reservoir reserves evaluation drillstem testing upstream oil & gas reservoir...

... reservoir production forecasting reserves evaluation drilling operation wells drilled lateral length drilling campaign number of fractures reservoir surveillance hydraulic fracturing upstream oil & gas type well economic evaluation vaca muerta production control asset and portfolio...

... artificial intelligence shale oil oil shale complex reservoir reserves evaluation regression model unconventional resource economics trend model random forest regression eagle ford shale eur prediction unconventional resource technology conference workflow hyperparameter production forecasting...

... machine learning reservoir surveillance drillstem testing calculation production data algorithm derivative calculation rate function application regression bayesian method coefficient pressure transient analysis data quality production forecasting drillstem/well testing bourdet derivative...

... the system nonlinearity leads to significant discrepancies in the production forecasting when compared to numerical simulations. Finally, it is evidenced that closer fracture spacing causes higher pressure drop at fracture location, confirming the importance of a proper hydraulic fracking design to optimize...

... Abstract Evaluating the potential of the unconventional resources is a key for the development of this type of reservoirs. The currently adopted models for the well production forecast including decline curve analysis often fail to capture the complexity of flow performance by over-simplifying...

... uncertainty band lognormal distribution artificial intelligence complex reservoir reserves evaluation correlation production forecasting unconventional resource economics information type well aggregation curve geodomain production data production rate mean marble mass society of petroleum...

... hydraulic fracturing case 2 relative permeability case 3 type curve oil saturation distribution log-log type curve permeability complex reservoir rate transient behavior pressure distribution multiphase flow blasingame plot production forecasting fluid dynamics formation permeability flow...

... control flow in porous media production forecasting drillstem testing reserves evaluation complex reservoir drillstem/well testing modeling & simulation equation of state upstream oil & gas fluid modeling artificial intelligence shale gas pvt measurement dca model analytical...

... variability. pressure transient analysis fluid modeling production forecasting drillstem testing pvt measurement drillstem/well testing calibration workflow reservoir geomechanics equation of state pressure transient testing upstream oil & gas natural fracture hydraulic fracture...

...-Kovacs and Clarkson, 2013 ). artificial intelligence pressure transient analysis reservoir characterization production forecasting drillstem testing fracture characterization multiphase flow pvt measurement fluid dynamics flowback data initial fracture permeability influx shale gas...

... reservoir surveillance production control drillstem testing hydraulic fracturing drilling operation reserves evaluation directional drilling upstream oil & gas shale gas reservoir simulation fracture characterization reservoir characterization production forecasting complex reservoir pvt...

...Introduction Abstract Reliable hydrocarbon production forecasting is necessary for optimizing field development and management and for assisting asset teams in making sound business decisions. In conventional reservoir modeling workflows, the data used to build a subsurface flow model comes...

... Abstract The oil & gas industry uses production forecasts to make a number of decisions as mundane as whether to change the choke setting on a well, or as significant as whether to develop a field. As these forecasts are being used to develop cashflow predictions and value and decision...

... Abstract In the absence of well-developed calibrated geologic and simulation models, empirical approaches such as decline curve analysis (DCA) are normally used for production forecasting and reserve estimation. DCA is computationally more efficient compared to simulation models when the active...