1-8 of 8
Keywords: neural network
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 IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition, August 9–10, 2022
Paper Number: SPE-209886-MS
... in the irregular wellbore, which makes it difficult to improve the prediction accuracy of the ROP and can't meet the requirements of drilling parameter control in the era of intelligent drilling. This paper proposes a DNN-TCN composite neural network that can handle both non-sequential features and sequential...
Proceedings Papers

Paper presented at the IADC/SPE Asia Pacific Drilling Technology Conference, June 8–9, 2021
Paper Number: SPE-201037-MS
... neural network petronas drilling parameter prediction specialist meor hashim differential sticking module real time centre symptom well augmented stuck pipe indicator indicator Introduction Drilling has evolved into a highly supervised operation since the establishment of Wells Real...
Proceedings Papers

Paper presented at the IADC/SPE Asia Pacific Drilling Technology Conference, June 8–9, 2021
Paper Number: SPE-201020-MS
... an Artificial Neural Network and other machine learning classification algorithms. Feature selection was made first with ten most notable features found by Random Forest, and the second set with derived measurements and down-sampled dynamic features from the sensors. The classification analysis was divided...
Proceedings Papers

Paper presented at the IADC/SPE Asia Pacific Drilling Technology Conference, June 8–9, 2021
Paper Number: SPE-201026-MS
... of a successful artificial intelligence model that outperformed other drilling troubles prediction practices. data mining drilling operation real time system neural network artificial intelligence upstream oil & gas hook-load value operation crew data quality gharbi mechanism artificial...
Proceedings Papers

Paper presented at the IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition, August 27–29, 2018
Paper Number: SPE-191097-MS
... of the alert levels for the simulator are adopted from both Health Safety Environment (HSE) policy and unsupervised vector quantization via Fuzzy Adaptive Resonance Theory (ART) neural network category ranges. Results show that using Fuzzy ART to train the H 2 S simulator alert levels based on formation data...
Proceedings Papers

Paper presented at the IADC/SPE Asia Pacific Drilling Technology Conference, August 22–24, 2016
Paper Number: SPE-180573-MS
... calculation model of drilling fluids density and ESD was proposed, which can predict the HTHP density and ESD. Firstly, a new utility artificial neural network HTHP drilling fluid density prediction model was established based on the traditional BP neural network and PSO (Particle Swarm Optimization...
Proceedings Papers

Paper presented at the IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition, July 9–11, 2012
Paper Number: SPE-155878-MS
... working life by using its nonlinear approximation and generalization abilities based on the back propagation (BP) artificial neural network (ANN). The CT diameter, wall thickness and internal pressure were used as ANN training input vectors, while the experimental cycle times of the CT was used...
Proceedings Papers

Paper presented at the IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition, November 1–3, 2010
Paper Number: SPE-132010-MS
... capabilities, the provider is applying an artificial neural network (ANN) to analyze offset drilling data. The system has significantly improved the ability to accurately predict drilling performance, despite expected changes in lithology, hole size, bit type and mud properties. The flexibility of the software...

Product(s) added to cart

Close Modal