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Keywords: artificial intelligence
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Proceedings Papers
A Practical Workflow for Determining the Individual-Stage Fracture Network Using Flowback Dynamics and Microseismic Data: A Case Study
Available to Purchase
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208400-MS
... to production performance prediction and fracturing optimization. hydraulic fracturing fracture length reservoir characterization upstream oil & gas microseismic event identification artificial intelligence orientation fracture network tracer flowback profile fracturing fluid machine...
Proceedings Papers
Statistical Process Control for Early Detection of Progressive Cavity Pump Failures in Vertical Unconventional Gas Wells
Available to Purchase
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208406-MS
... failure date. These findings enable gas operators to arrange the maintenance and replacement of the pumps, reducing the downtime and thereby increasing the production of gas wells. artificial lift system complex reservoir artificial intelligence machine learning queensland detection control...
Proceedings Papers
Physics-Constrained Deep Learning for Production Forecast in Tight Reservoirs
Available to Purchase
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208394-MS
... time series in tight reservoirs due to changes in flow regimes. machine learning upstream oil & gas information artificial intelligence schmidhuber deep learning high noise prediction lstm prediction neural network physics-constrained prediction low noise international conference...
Proceedings Papers
Integration of Pressure-Transient and Fracture Area for Detecting Unconventional Wells Interference
Available to Purchase
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208395-MS
... and its connectivity back to the wellbore. The new method does not require any well surveillance compared with existing methods and does not incur extra cost to operator. production control real time system reservoir characterization artificial intelligence complex reservoir production...
Proceedings Papers
A New Hydration Index and Mineral Content Curve Based Shut-In-Time Optimization Approach for Multi-Fractured Horizontal Wells in Shale Gas Reservoirs
Available to PurchaseShuanghan Luo, Hao Su, Ge Jiang, Chao Hu, Zhihong Zhao, Yuhang Zhao, Liang Tao, Xianan Deng, Geng Li, Xin Zhang
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208293-MS
...×10 4 m 3 /day after the appropriate shut-in treatment. The study results provide a scientific basis for the optimization of shut-in-time for the development of similar shale gas reservoirs. optimization problem shale reservoir multi-fractured horizontal well artificial intelligence...
Proceedings Papers
Introducing Iterative Ensemble Kalman Smoother to History-Matching Horizontal Coalbed Methane Wells
Available to Purchase
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208291-MS
... production data gas content history-matching artificial intelligence coal seam gas es-mda statistics data assimilation bowen basin coal bed methane complex reservoir convergence ensemble posterior ensemble permeability realisation history-matched ensemble static property smoother initial...
Proceedings Papers
An Efficient Approach for Optimising Well Spacing in Coalbed Methane Assets
Available to Purchase
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208275-MS
... depletion state well spacing complex reservoir future development well sector model resource density solution space artificial intelligence decision framework model well spacing study ranking methodology section subsurface realisation scenario machine learning upstream oil & gas value...
Proceedings Papers
Multivariate Based Analysis of Methane Adsorption Correlated to Toc and Mineralogy Impact from Different Shale Fabrics
Available to Purchase
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208313-MS
... samples with various total organic contents origins and mineralogy. The study illustrates the capability of the artificial intelligence and neural network modeling to predict adsorption capacity on aforementioned shale samples utilizing various scope matrixes. The study can provide useful Information...
Proceedings Papers
Machine Learning Models for Predicting the Rheology of Nanoparticle-Stabilized-CO2-Foam Fracturing Fluid in Reservoir Conditions
Available to Purchase
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208308-MS
.... machine learning artificial intelligence fracturing materials chemical flooding methods hydraulic fracturing enhanced recovery proppant regression np-co2 foam fracturing fluid ml algorithm algorithm machine learning model reservoir conditions rmse support vector regression neural network...
Proceedings Papers
Innovative Analysis of Treatment Well Data Determines Cluster Efficiency, Assesses Fracture Complexity, and Provides Fracture Geometry in Unconventional Reservoirs
Available to Purchase
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208315-MS
... geomechanics production monitoring production logging artificial intelligence hydraulic fracturing complex reservoir multistage fracturing completion installation and operations perforation diameter proppant fracture characterization open cluster net pressure spe annual technical conference...
Proceedings Papers
Automated Well Performance Diagnostics in Unconventional Reservoirs: A Multi Basin Study for Early Time Production Optimization
Available to Purchase
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208282-MS
.... It is the belief of the authors that the application should work in any basin globally. When combined with an automated choke systems and artificial lift the APD application can be expanded to field wide optimization. artificial intelligence rate measurement error production history real time system...
Proceedings Papers
Study on Diagnosis Model of Shale Gas Fracture Network Fracturing Operation Pressure Curve
Available to Purchase
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208320-MS
... and operation, and enhance the potential of shale reservoir development. shale gas net pressure index satisfy eq fracture propagation mode artificial intelligence upstream oil & gas shale gas fracture network fracturing fracture network complexity fracture machine learning complex reservoir...
Proceedings Papers
The Determination of Stress Reorientation in Shale Gas Reservoirs with Complex Natural Fracture Distribution
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Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208284-MS
... to the stress reorientation in a multi-layer shale reservoir. The results from the numerical studies provide more instructive suggestions on infill drilling of highly fractured reservoirs. artificial intelligence hydraulic-natural fracture intersection natural fracture density upstream oil & gas...
Proceedings Papers
Using Machine Learning for Geosteering During In-Seam Drilling
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Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208298-MS
.... neural network artificial intelligence complex reservoir machine learning drilling operation deep learning correlation rop in-seam drilling drill bit engineering formation type gamma ray noncoal gamma ray log machine learning model xgboost coal noncoal classification regression task...
Proceedings Papers
A Machine Learning Approach to Benchmarking: A New Perspective Utilizing Factor Contribution Analysis
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Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208309-MS
... it was completed? How to quantify, separately, the contribution of completion and location to production? Can sweet spots be identified in an area using production data? Does completion effectiveness vary with location, or operator, or year? artificial intelligence machine learning hydraulic fracturing...
Proceedings Papers
Application of Physics Informed Neural Networks to Compositional Modelling
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Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208310-MS
... constraints into DL models. equation of state pvt measurement artificial intelligence deep learning constraint calculation machine learning reservoir simulation thermodynamic constraint rachford-rice equation composition physics fraction dl model phase mole fraction prediction mole...
Proceedings Papers
The Effective Process Parameters of CO 2 Adsorption on Peninsular Malaysia Shale Samples
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Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208386-MS
... process parameter morphology artificial intelligence upstream oil & gas pore structure co 2 shale gas complex reservoir adsorption micropore adsorption capacity clay mineral padmanabhan shale sample engineering isotherm natural gas science uptake URTEC-208386-MS The Effective...
Proceedings Papers
3D Seismic Facies Classification on CPU and GPU HPC Clusters
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Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208344-MS
... classification. artificial intelligence segmentation reservoir characterization deep learning machine learning neural network pixel information technology services upstream oil & gas arxiv preprint arxiv seismic data wall-clock time u-net facies classification dataset seismic facies...
Proceedings Papers
Averaging Predictions of Rate-Time Models Using Bayesian Leave-Future-Out Cross-Validation and the Bayesian Bootstrap in Probabilistic Unconventional Production Forecasting
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Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208335-MS
... estimates. We present the application to production data of tight-oil wells building an average predictive distribution for the estimated ultimate recovery (EUR). machine learning production forecasting complex reservoir bayesian bootstrap model uncertainty artificial intelligence upstream oil...
Proceedings Papers
Numerical Evaluation of Bulk Geomechanical Properties of Fractured Coal with Changing Net Effective Stress Conditions
Available to Purchase
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208346-MS
... networks. In addition to life-cycle decision-making, stimulation design, the prediction of compaction and subsidence, and reservoir management can all benefit from the knowledge gained in this study. reservoir geomechanics hydraulic fracturing wellbore design artificial intelligence coal seam gas...
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