Spatio-temporal sequence prediction of CO2 flooding and sequestration potential under geological and engineering uncertainties
CO 2 injection for subsurface hydrocarbon development not only enhances oil and gas
recovery but also enables CO 2 sequestration in the subsurface. It is essential to develop …
recovery but also enables CO 2 sequestration in the subsurface. It is essential to develop …
Estimated ultimate recovery prediction of fractured horizontal wells in tight oil reservoirs based on deep neural networks
S Luo, C Ding, H Cheng, B Zhang… - Advances in Geo …, 2022 - yandy-ager.com
Accurate estimated ultimate recovery prediction of fractured horizontal wells in tight
reservoirs is crucial to economic evaluation and oil field development plan formulation …
reservoirs is crucial to economic evaluation and oil field development plan formulation …
Pore pressure prediction assisted by machine learning models combined with interpretations: A case study of an HTHP gas field, Yinggehai Basin
X Zhao, X Chen, Z Lan, X Wang, G Yao - Geoenergy Science and …, 2023 - Elsevier
Accurately estimating pore pressure in high-temperature and high-pressure (HTHP)
formations is crucial to prevent drilling problems and engineering disasters. In this study …
formations is crucial to prevent drilling problems and engineering disasters. In this study …
Hyperparameter tuning of artificial neural networks for well production estimation considering the uncertainty in initialized parameters
A well production rate is an essential parameter in oil and gas field development. Traditional
models have limitations for the well production rate estimation, eg, numerical simulations are …
models have limitations for the well production rate estimation, eg, numerical simulations are …
[HTML][HTML] Statistical prediction of waterflooding performance by K-means clustering and empirical modeling
Statistical prediction is often required in reservoir simulation to quantify production
uncertainty or assess potential risks. Most existing uncertainty quantification procedures aim …
uncertainty or assess potential risks. Most existing uncertainty quantification procedures aim …
A novel machine learning model for autonomous analysis and diagnosis of well integrity failures in artificial-lift production systems
The integrity failure in gas lift wells had been proven to be more severe than other artificial
lift wells across the industry. Accurate risk assessment is an essential requirement for …
lift wells across the industry. Accurate risk assessment is an essential requirement for …
[HTML][HTML] An adaptive neuro-fuzzy inference system white-box model for real-time multiphase flowing bottom-hole pressure prediction in wellbores
The majority of published empirical correlations and mechanistic models are unable to
provide accurate flowing bottom-hole pressure (FBHP) predictions when real-time field well …
provide accurate flowing bottom-hole pressure (FBHP) predictions when real-time field well …
Selection of optimal well trajectory using multi-objective genetic algorithm and TOPSIS method
This study presents a novel approach for optimizing well paths in extended reach drilling
(ERD) wells. Different trajectories can be used for ERD wells, each with its pros and cons …
(ERD) wells. Different trajectories can be used for ERD wells, each with its pros and cons …
Intelligent Algorithm for Rock Core RQD Based on Object Detection and Image Segmentation to Suppress Noise and Vibration
F Xiong, J Wang, G Zhang, X Shi… - Advances in Civil …, 2024 - Wiley Online Library
In the construction of the civil engineering infrastructure, the noise and vibration are affected
by the geological conditions, adopting specific construction techniques based on the …
by the geological conditions, adopting specific construction techniques based on the …
[HTML][HTML] Bridging the Performance Gap between Passive and Autonomous Inflow Control Devices with a Hybrid Dynamic Optimization Technique Integrating Machine …
The wells equipped with flow control devices across their completion intervals have become
a proven field development option for geologically complex and/or viscous oil reservoirs …
a proven field development option for geologically complex and/or viscous oil reservoirs …