... production and PVT data. We present complete details of its derivation along with its application to both synthetically generated and actual field data sets. We also compare results of our analysis to results obtained from interpreting multiphase production data using single-phase techniques. We show...

... individual flow regime flow regime log-log plot onepetro production data unconventional reservoir URTeC: 3722861 New Model Improves Secondary Phase Production Forecasts Himanshu Shekhar Jha*1, W. John Lee2, 1. The Berg-Hughes Center for Petroleum and Sedimentary Systems at Texas A&M University, 2...

... permeability complex reservoir upstream oil & gas berg 53 production data fracture interference fracture log-log plot Abstract Rate transient analysis ("RTA") is used to determine fracture and reservoir parameters and well geometries in unconventional reservoirs. It is applied to production...

..., the calibration of the numerical RTA model for multi-phase wells requires production data after reaching dew or bubble point. To evaluate the performance of the wells in early production time and in absence of production data below saturation pressure, a diagnostic term is presented that combines the fractional...

... forecasting deep learning dca model proceedings urtec 5418 production data time series 1 URTeC: 5418 Application of Bayesian Optimized Deep Bi-LSTM Neural Networks for Production Forecasting of Gas Wells in Unconventional Shale Gas Reservoirs Y. Kocoglu*, S. Gorell, and P. McElroy, Texas Tech...

..., fracture communication that persists during production complicates rate-transient analysis (RTA) because models/methods for RTA have mostly been applied to single-well production data. Availability of RTA methods specifically developed for communicating wells can reduce errors associated with hydraulic...

... maturity. The liquids distribution across the Marcellus fits within expectations from production data showing a trend of increasing content moving westward from northcentral WV towards the Ohio River; liquid saturations measured were likely 1% of the original subsurface saturation. The liquids content...

... and microseismic events. The ML inverse model takes the form of an artificial neural net that can predict site parameters based on short term production data. We demonstrate the workflow using data from the DOE-sponsored Marcellus Shale Energy and Environment Laboratory (MSEEL-1). Introduction The Science-informed...

... multiple flow regimes further complicate forecasting. An important goal for field operators is to obtain a fast and reliable forecast with minimal historical production data. The abundance of wells drilled in fractured tight formations and continuous data acquisition effort motivate the use of data-driven...

... dynamics monte carlo simulation drillstem/well testing relation production control flow in porous media complex reservoir reserves evaluation rate decline relation dca parameter detection workflow unconventional resource technology conference spe annual technical conference production data...

... upstream oil & gas unconventional resource economics correlation urtec operation wamsutter field structural geology information production data energy economics complex reservoir colorado school wyoming lewis shale buffer flooding surface well development production analysis...

... to significantly increase the number of analog wells used to construct the type well, increasing the statistical significance of the final product. We present our proposed workflow and illustrate its application to a 130-well data set from the DJ basin. In our workflow, the analyst first matches production data...

... in the presence of outliers. In essence, we apply a weighted least-squares (WLS) approach which, with simple mathematical manipulation is shown to be equivalent to LAV minimization. The proper identification of the BDF or PSSF exhibited by the production data is crucial for accurately estimating OGIP, EUR, and RF...

... a hindcast (backtesting) case study for a set of 197 Barnett shale gas wells. We compared the impact of not updating the estimates (base case) with updating estimates using new production data and externally adjusting them using calibration data. At 12 months of production data, the externally adjusted...

... reservoir simulation ffnn model prediction accuracy regression reserves evaluation training data predictor generalized additive model production data ann model wigwe test data data analysis unconventional resource technology conference gwr model urtec 3108 spatial method URTeC: 3108...

... 2994 unconventional resource economics production data efficiency completion property stimulation efficiency reservoir model productivity well ow-1 permeability drillstem testing oil shale history matching drillstem/well testing optimization porosity matrix porosity srv permeability...

... a full-field development plan. Even though satisfactory history matching for completion and production data can be achieved for wells at one location, it is difficult to directly apply the results to other areas in the same region. This is especially true in complex thick pay zone reservoirs...

... intensity prediction completion design production plot production prediction basin fluid intensity spur energy partner andrey bogdan application operator intensity completion driver production data urtec 2770 completion parameter URTeC: 2770 Basin-Specific Machine Learning Models...

... testing wolfcamp formation upstream oil & gas pvt measurement production data history matching fluid dynamics weijermar reserves evaluation hft well test site permian basin estimation unconventional resource technology conference wolfcamp well shale gas natural fracture complex...

... bayesian inference reservoir surveillance production control production forecasting artificial intelligence reservoir simulation history matching drillstem/well testing cumulative production acceptance ratio pvt measurement autocorrelation fluid dynamics production data bayesian framework...