Optimization of Child Well Hydraulic Fracturing Design: A Bakken Case Study

A Merzoug, A Ellafi - SPE Oklahoma City Oil and Gas Symposium …, 2023 - onepetro.org
The combination of hydraulic fracturing and horizontal drilling unlocked a huge energy
potential in the US. The unconventional plays have been developed by drilling several …

Water Saturation Prediction in the Middle Bakken Formation Using Machine Learning

I Mellal, A Latrach, V Rasouli, O Bakelli, A Dehdouh… - Eng, 2023 - mdpi.com
Tight reservoirs around the world contain a significant volume of hydrocarbons; however, the
heterogeneity of these reservoirs limits the recovery of the original oil in place to less than …

Formation Evaluation Challenges of Tight and Shale Reservoirs. A Case Study of the Bakken Petroleum System

I Mellal, V Rasouli, A Dehdouh, A Letrache… - ARMA US Rock …, 2023 - onepetro.org
Several challenges are associated with enhancing oil and gas recovery from tight and shale
reservoirs, which make up a significant portion of hydrocarbon production worldwide …

Machine Learning Based Predictive Models for UCS and Young's Modulus of the Dakota Sand Using Schmidt Hammer Rebound

HAK Chellal, S Egenhoff, A Latrach… - ARMA US Rock …, 2023 - onepetro.org
ABSTRACT The Inyan Kara formation is a fluvial sandstone saline aquifer in the Williston
basin that gained a lot of interest in the recent years due to it being the main saltwater …

Integrated Reservoir Simulation and Discrete Fracture Network Modeling for Produced Water Source Identification in Tight Reservoirs, Case Study from the Bakken …

O Bakelli, HAK Chellal, AE Aoun, Y Khetib… - ARMA US Rock …, 2023 - onepetro.org
The Bakken reservoir in the Williston Basin recorded an increase in produced water volume,
previous research suggested two possible reasons: Bakken formation pressure depletion …

A new approach for estimating water saturation in low-resistivity hydrocarbon-bearing reservoirs using artificial neural network (ANN)

MZ Doghmane, SA Ouadfeul, S Eladj, S Dejzzar… - Neural Computing and …, 2024 - Springer
The low-resistivity pay zone phenomenon is among the main challenges in the oil industry,
where the hydrocarbon-bearing pay zone shows low-resistivity values instead of declaring …

Geomechanical Characterization of the Broom Creek Reservoir for Geologic Carbon Storage in the Williston Basin, North Dakota, US

O Bakelli, T Xiao, B McPherson… - ARMA/DGS/SEG …, 2023 - onepetro.org
The research examines geological carbon dioxide (CO2) sequestration in North Dakota's
Broom Creek Formation, situated within the Williston Basin, as a method to reduce …

Comparative Analysis Between Empirical Correlations and Time Series Models for the Prediction and Forecasting of Unconventional Bakken Wells Production

A Laalam, OS Tomomewo, H Khalifa… - SPE Asia Pacific …, 2023 - onepetro.org
Accurately forecasting oil and gas well production, especially in complex unconventional
reservoirs, is vital. Leveraging advanced techniques like machine learning and deep …

Enhancing Shear Velocity Log Prediction in Ahnet Field, Algeria, Through Well Logs and Machine Learning Techniques

R Goucem - International Journal of Earth Sciences Knowledge and …, 2023 - dergipark.org.tr
Shear velocity logs are crucial in the oil and gas industry for assessing subsurface
mechanical properties, including rock stiffness, shear strength, and seismic wave …

Spatial Data Analysis of Water Production from Unconventional Reservoirs, Case Study from the Williston Basin, North Dakota

O Bakelli, L Kegang, T Nesheim, T Mahmood… - ARMA US Rock …, 2023 - onepetro.org
With the instability of oil prices and the high investment cost associated with developing
unconventional reservoirs, oilfield operators, contractors, and service companies are …