1-20 of 134
Keywords: prediction
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

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0024
... spwla-2024-0024 geology neural network log analysis well logging drilling data acquisition geologist artificial intelligence drilling measurement machine learning frequency algorithm attenuation prediction resistivity inversion regression reservoir characterization spwla 65...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0028
... specific contexts. But predictions can rapidly degrade in case of severe wellbore artifacts and for lithologies poorly represented in the training dataset. Evaporites combine generally the two issues simultaneously with possibly poor borehole conditions and a large variety of lithologies seldomly...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0041
... ABSTRACT Permeability is a key parameter to predict reservoir deliverability and ultimate recovery in tight-gas reservoirs. Since it is a multi-scale property, its values can significantly change with the scale of the medium under investigation. Well-log evaluation and core measurements...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0077
... prediction relaxation core analysis rock type spwla-2024-0077 hydrocarbon cbml substitution log analysis geological subdiscipline workflow permeability dataset SPWLA 65th Annual Logging Symposium, May 18-22, 2024 DOI: 10.30632/SPWLA-2024-0077 CASCADED MACHINE LEARNING IN NMR: UNVEILING...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0087
... model is robust and efficient even with only a few core samples available for training. Moreover, the DL model provides the user physical indicators to evaluate the qualities of the model predictions. INTRODUCTION As illustrated by Kwak et al. (2016) in Figure 1, the transformation of Nuclear...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0123
... clastic rock mudrock sedimentary rock reservoir geologist complex reservoir shale gas well logging reservoir characterization reservoir geomechanics saturation th annual logging symposium spwla 65 prediction shale reservoir gulf sandstone mudstone swt resistivity substitution...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0127
... geology geologist wellbore design estimation production enhancement through tubing well intervention downhole intervention history matching reservoir simulation modeling & simulation log analysis well logging deformation hankel dmd prediction enkf spwla-2024-0127...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0129
... (Tc), and extended into a generalized model to include crude oils. To address its practical applicability, the Sutton model was modified by extracting Tc from routinely measurable properties such as density and viscosity, resulted in not only improved predictive accuracy and reduced uncertainty...
Proceedings Papers

Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0127
.... Fitting a power law curve to the fluid properties showing the cleanup trend would provide the current contamination level and could then be used for predicting the time and volume needed to achieve a desired level of cleanliness. The cleanup process of miscible fluids may vary significantly due...
Proceedings Papers

Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0044
... instability risks. Available measurements are typically MWD natural Gamma Ray (GR) logs along with surface measurements such as WOB, ROP, torque, RPM, and differential pressure. The development of a robust and rapid model for predicting reservoir properties using this limited dataset would be of high value...
Proceedings Papers

Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0024
...SPWLA 64th Annual Logging Symposium, June 10-14, 2023 DOI: 10.30632/SPWLA-2023-0024 EVALUATION OF PVT COMPARISONS AND GOR PREDICTION BASED ON ADVANCED MUD GAS DATA: A CASE STUDY FROM SNORRE FIELD Priscila Furghieri Bylaardt Caldas and George Kirkman, Halliburton. Frode Ungar and Tao Yang, Equinor...
Proceedings Papers

Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0084
... acquired in key wells that incorporate expert knowledge, depth-matched core porosity with log-calculated porosity, generated two support systems (core and log resolution), and trained with the predicted porosity and smoothed permeability. Feature engineering is implemented on the resulting data suite...
Proceedings Papers

Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0089
... achieved an average accuracy of 95% on the field data, as demonstrated in the confusion matrix in Fig. 9. Using this approach, the prediction accuracy improved in real field data classification. Additionally, the classification accuracy can be continuously improved by retraining the model using additional...
Proceedings Papers

Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0007
... drilling fluid management & disposal real time system well logging equation of state pvt measurement log analysis drilling fluids and materials pvt sample threshold mud gas spwla-2022-0007 composition castberg field accuracy prediction spwla 63 machine learning artificial...
Proceedings Papers

Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0009
... Abstract Advanced mud gas logging has been used in the oil industry for about 25 years. However, it has been challenging to predict reservoir fluid properties quantitatively (e.g., gas oil ratio – GOR) from only the advanced mud gas data (AMG) while drilling. Yang et al. proposed the first...
Proceedings Papers

Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0067
... well logging upstream oil & gas information log analysis deep learning test well machine learning artificial intelligence bakken dataset correlation prediction neutron porosity spwla-2022-0067 dataset nphi spwla 63 reservoir characterization neural network groningen dataset...
Proceedings Papers

Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0069
... wireline spectroscopy logs are used. First training data is automatically reduced into interpretable facies using a novel Petrophysical Data-Driven Classification (PDDC) methodology. Then facie-wise learning models, including 1)outlier detection, 2)prediction of target complex mineralogy from input...
Proceedings Papers

Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0082
... interpretation under complex borehole and formation conditions, machine learning methods for spectrum noise reduction and formation saturation prediction of C/O logging are introduced in this paper. Based on numerical simulation methods and calibration well measurements, the standard spectrum...

Product(s) added to cart

Close Modal