Reference health
Forecasting Oil Production in Unconventional Reservoirs Using Long Short Term Memory Network Coupled Support Vector Regression Method: A Case Study
17/17 checkable references clean · checked 2026-08-31
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
30 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 17 checked references that resolve
resolves10.2118/162031-RU
Analysis of Multiple Fractured Horizontal Wells Application at Priobskoye field (Russian)
resolves10.2118/12917-PA
Type Curves for Finite Radial and Linear Gas-Flow Systems: Constant-Terminal-Pressure Case
resolves10.1016/j.petrol.2020.107995
Improving uncertainty analysis in well log classification by machine learning with a scaling algorithm
resolves10.15530/AP-URTEC-2019-198198
Production Forecasting for Shale Gas Well in Transient Flow Using Machine Learning and Decline Curve Analysis
resolves10.2118/195581-PA
Advanced Flowing Material Balance To Determine Original Gas in Place of Shale Gas Considering Adsorption Hysteresis
resolves10.1016/j.petrol.2021.108559
Comparison of different machine learning algorithms for predicting the SAGD production performance
resolves10.1016/S1876-3804(21)60001-0
Application and development trend of artificial intelligence in petroleum exploration and development
resolves10.2118/195698-PA
Prediction of Shale-Gas Production at Duvernay Formation Using Deep-Learning Algorithm
resolves10.1016/j.petrol.2020.108182
Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models
resolves10.2118/68163-MS
How Data-Driven Modeling Methods Like Neural Networks can Help to Integrate Different Types of Data into Reservoir Management
resolves10.1016/S1876-3804(19)60264-8
Development characteristics and orientation of tight oil and gas in China
resolves10.1016/j.jseaes.2018.07.020
Characteristics and distribution of continental tight oil in China
resolves10.1016/j.petrol.2012.02.001
Tight gas sandstone reservoirs in China: characteristics and recognition criteria
The 30 references without a DOI — listed, not checked
no DOI — not checkedData driven production forecasting using machine learning
no DOI — not checkedAn unconventional rate decline approach for tight and fracture-dominated gas wells
no DOI — not checkedref6
no DOI — not checkedRate-decline analysis for fracture-dominated shale reservoirs: Part 2
no DOI — not checkedOil well production forecast with long-short term memory network model based on data mining
no DOI — not checkedHaynesville shale: predicting long-term production and residual analysis to identify well intereference and frac hits
no DOI — not checkedNew well oil production forecast method based on long-term and short-term memory neural network
no DOI — not checkedIntegrating multiple production analysis techniques to assess tight gas sand reserves: defining a new paradigm for industry best practices
no DOI — not checkedIntegrating multiple production analysis techniques to assess tight gas sand reserves: defining a new paradigm for industry best practices
no DOI — not checkedExponential vs. hyperbolic decline in tight gas sands: understanding the origin and implications for reserve estimates using Arps' decline curves
no DOI — not checkedGeochemical characterization and quantitative identification of mixed-source oils from the Baikouquan and Lower Wuerhe Formations in the eastern slope of the Mahu Sag
no DOI — not checkedMachine learning forecasts oil rate in Mature Onshore field jointly driven by water and steam injection
no DOI — not checkedref24
no DOI — not checkedA new method for production prediction of heavy oil reservoirs based on GRU circulation neural network
no DOI — not checkedForecasting oil production using ensemble empirical model decomposition based long short-term memory neural network
no DOI — not checkedA comprehensive workflow for near real time waterflood management and production optimization using reduced-physics and datadriven technologies
no DOI — not checkedUsing machine learning to predict production at a Peace River Thermal EOR site
no DOI — not checkedDynamic production forecasting using artificial neural networks customized to historical well key flow indicators
no DOI — not checkedAn Intelligent Data Driven Approach for Production Prediction
no DOI — not checkedComparison of decline curve analysis dca with recursive neural networks rnn for production forecast of multiple wells
no DOI — not checkedref35
no DOI — not checkedref37
no DOI — not checkedProduction prediction at ultra-high water cut stage via Recurrent Neural Network
no DOI — not checkedA transient two-phase flow model for production prediction of tight gas wells with fracturing fluid-induced formation damage
no DOI — not checkedA study on oil well production prediction based on time seriesdynamic analysis
no DOI — not checkedDevelopment and application of a machine learning based multi-objective optimization workflow for CO2-EOR projects
no DOI — not checkedProduction performance forecasting method based on multivariate time series and vector autoregressive machine learning model for waterflooding reservoirs
no DOI — not checkedref43
no DOI — not checkedShale gas production prediction method based on adaptive threshold denoising BP neural network
no DOI — not checkedref46
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