1-20 of 39
Keywords: accuracy
Close
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3014-MS
... surprising accuracy. Quantification of the GAIN process and association of missing data and variable importance was done with the use of probability distributions. The relationship between the amount of missing data and the accuracy and probability associated with the predictions has been further quantified...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2552-MS
... computational cost, tedious modelling process and the requirement of high-performance simulation software. Machine learning-assisted computing methods have attracted significant attention during the past decade. As machine learning requires fewer input parameters while reaching better accuracy, many different...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2751-MS
... field. The ANN model used in this study predicted the oil and gas production of the first year with reasonable accuracy. Our model suggests increasing the number of fracture stages and proppant volume in the oil-bearing region. The suggestions for the gas bearing cases were opposite to the oil case...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3108-MS
.... The predictive strength of other spatial methods were within a reasonable range. One of the main input parameters that may increase the accuracy of the model are completion parameters. However, most of these completion parameters that will affect the production are very difficult and expensive to...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3213-MS
... matrix reservoir geomechanics upstream oil & gas complex reservoir frequency modeling & simulation accuracy convergence dynamic two-dimensional reservoir problem condensation matrix fluid dynamics displacement guyan condensation iterative technique reduced-order model full model...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2885-MS
... daily drilling & completion reports with accuracy of 85% and was successfully deployed in an online analysis system. The text classification model helped to shorten the data analysis time and increase the technical management efficiency of the oil company. The result proved the potential of machine...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2900-MS
...) distributions by using LSTM deep recurrent and neural networks, respectively. The analysis of results shows that a significant validation accuracy using LSTM deep recurrent network for fluid classification and deep neural network for fractured density (proxy) prediction can be obtained if well log and seismic...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2762-MS
... intelligence complex reservoir drillstem/well testing reservoir characterization hydraulic fracturing pressure transient testing machine learning flow in porous media neural network accuracy algorithm closure time permeability fracture closure pressure closure pressure linear regression model...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2106-MS
... Abstract Decline Curve Analysis (DCA) has been widely applied in production forecasting of wells in unconventional hydrocarbon reservoirs. However, traditional curve-fit-based methods fall short of forecast accuracy due to three weaknesses: first, they cannot capture the reservoir signals not...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-383-MS
... fluid properties. Based on a reservoir fluid database with more than 60 samples from different shale reservoirs, we developed a machine learning algorithm to predict fluid properties from advanced mud logging gas data. The accuracy of the new method is significantly improved compared with the previous...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-343-MS
... Abstract A supervised machine learning model for rate of penetration (ROP) prediction was developed that is efficient for use with real-time data. Once ROP can be predicted with a sufficiently high and consistent degree of accuracy, drilling parameters such as differential pressure, flow-rate...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-638-MS
... an unknown SEM image, were around 77% but have since increased to 93% This exercise has also suggested relationships between plays based on microstructural similarities. Initial results for image segmentation results are promising and show a 64% to 87% accuracy when extracting features from unseen...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-934-MS
... most efficiently. Selecting the proper measurement by careful analysis beforehand allowed the wells to be steered successfully, which led to increased production compared to offset horizontals steered without an azimuthal measurement. log analysis accuracy Directional Resistivity Tool...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-1090-MS
... very low cost and reliable accuracy. Abundant real-time field and well data acquired from IIot and digital field facilities establish a fundamental foundation for developing a machine learning application. This paper presents a method to predict the real-time production rate from real-time IIot data...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-193-MS
... neural network and then tested against core outside of the training set with a 98% accuracy. The system can yield a quit-look of core facies much faster than that of traditional methods. Introduction Artificial Intelligence (AI) is a branch of computer science that creates intelligent machines that...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-253-MS
... state “drilling”, a sub-classification was made to label rotate drilling and slide drilling. However, it is difficult to categorize “slide drilling” solely based on surface RPM due to top drive oscillation. In order to achieve acceptable accuracies, three machine learning models to classify “rotate...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2902304-MS
... interpretation quantitative mineralogical analysis quantitative mineralogy log interpretation shale gas accuracy mineralogical composition clay mineral mineralogical analysis URTeC: 2902304 Quantitative Mineralogy of Vaca Muerta and Alum Shales From Core Chips and Drill Cuttings by Calibrated SEM-EDS...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2902592-MS
... deviation of the gas behavior inside the nanopores. These experimental data are utilized to evaluate various modifications on equations of state from the literature and compare their accuracy in estimating the pore size effect on gas behavior and illustrate their deficiency in capturing the extent of this...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2902533-MS
... stratigraphic position bedding trajectory change discontinuous bedding interpretation well planning geosteering accuracy Downhole Measurement visibility azimuthal gamma imaging total gamma URTeC: 2902533 Advanced Downhole Measurements and 3D Model Based Geosteering Improves Wellbore Placement...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2904037-MS
... Reservoir Characterization Upstream Oil & Gas accuracy Codell algorithm dynamic time cross section Spraberry expert system phantom marker correlation sequence interpretation priority queue URTeC: 2904037 Rapid Reservoir Modeling with Automated Tops Correlation Christian W. Grant...

Product(s) added to cart

Close Modal