... parameter) is derived. Based on this estimated LFP, Hydrocarbon in place is then estimated, which is then used in building and history matching numerical models to develop production forecasts for individual wells. However, RTA forecasts based on early production data can have high uncertainty and benefit...

... Permian-basin based, but the methods and approaches are transferrable to any unconventional horizontal development. geologist degradation complex reservoir asset and portfolio management geology directional drilling project economics upstream oil & gas drilling operation production...

... testing rock type fracturing materials production forecasting stimulation sedimentary rock clastic rock drilling operation proppant mudrock modeling & simulation mudstone unconventional resource technology conference concentration unconventional reservoir conference signpost ift...

... Abstract Production forecasts are critical for determining well productivity, estimating future cash flow, asset valuations, and informing key business decisions. When using traditional decline curve analysis (DCA) or newer machine learning (ML) methods to forecast the production of existing...

... energy economics diagnostic signature refracturing production forecasting fracturing materials geological subdiscipline permeability log-log plot lower barnett shale selection fracture half-length fracture modeling quadrant proxy fracture rta methodology URTeC: 3869654 Integrated Well...

... states government production forecasting production monitoring match reservoir surveillance relation modified-hyperbolic dca gas well dca relation lognormal cumulative density function north america government lognormal cumulative distribution function power-law exponential production...

... simulations and RTA to be applied to large well counts. The goal of this study is to develop physics-constrained, data-driven reservoir model for pressure and PVT aware production forecasting from routinely collected data. To find rate-pressure relationships in unconventionals, we propose a hybrid data...

... designs aligned with neighboring well data for true vertical depth (TVD), lateral length, azimuth, total proppant, and total fluid pumped. Additionally, the results were validated by predicting the production forecast using the recommended designs and evaluating the economic returns based on the forecast...

... indicator production forecasting eur regime complex reservoir production potential equation indication upstream oil & gas drillstem testing prediction permian basin unconventional resource power information flowback figure 3 permeability URTeC: 3854193 Early EUR Indicator for Permian...

... of depletion on child wells. Learnings with respect to the role of natural fractures in well performance were also obtained. upstream oil & gas drillstem/well testing geologist united states government pressure transient testing health & medicine fracture production forecasting drillstem...

... contribution of this work is the remarkable simplicity yet robustness of our solution to variable pressure decline-curve analysis. geologist pressure transient testing upstream oil & gas production forecasting artificial intelligence united states government petroleum geology geological...

... diagnostic tools or analog wells. The new correlation can be used to generate a water production forecast as a type well for a particular field or well given an initial water cut. Improved water production forecasts could aid in surface facility design, water disposal management, water handling cost...

... Abstract Decline-curve analysis (DCA) and production forecasting are usually performed from a deterministic standpoint (point estimation). This approach does not quantify the uncertainty of the model’s parameters and thus, the model’s estimated ultimate recovery (EUR). In addition, decline...

..., thereby quantifying and prioritizing the critical productivity drivers. The proposed methodology further enables production forecasting on both a single-well basis and a pad-well basis. In this study, we utilize the Laplacian Eigenmaps (LE)-based and the Locality Preserving Projection (LPP)-based...

... learning us government upstream oil & gas production forecasting deep learning modeling & simulation neural network artificial intelligence complex reservoir physics-guided deep learning prediction field dataset application dataset equation pgdl model experiment physics-constrained...

... optimization proceedings algorithm production forecasting upstream oil & gas ml algorithm spe annual technical conference statistical method hyperparameter deep learning information prediction unconventional reservoir output layer petroleum engineer lstm neural network srv model brownlee...

... Abstract Marked by complex physics in fluid flow through fractured porous media, reservoir modeling for unconventional reservoirs is often deemed a challenging task for production forecast and optimization at field scale. Traditional methods such as decline curve analysis (DCA), rate transient...

... conditions for undrilled wells. pressure transient analysis complex reservoir fluid dynamics flow in porous media pressure transient testing transient linear flow type well reference condition production forecasting upstream oil & gas reference value fracture half-length workflow...

... of the Permian Basin. pressure transient analysis asset and portfolio management hydraulic fracturing complex reservoir production forecasting pressure transient testing dimension interference seg unconventional resource technology conference infill well upstream oil & gas unconventional...

... Abstract A machine learning approach is considered to develop a Seq2Seq LSTM-based learning framework for oil production forecasting in the Eagle Ford shale employing encoder-decoder architecture to generate future declining production rates. The study's novelty is a methodology...