Applications of underbalanced fishbone drilling for improved recovery and reduced carbon footprint in unconventional plays

H Ouadi, S Mishani, V Rasouli - Petroleum & Petrochemical …, 2023 - commons.und.edu
Abstract Fishbone Drilling (FbD) consists of drilling several micro-holes in different directions
from the main vertical or deviated wellbore. Similar to multilateral micro-hole drilling, FbD …

Design and performance analysis of dry gas fishbone wells for lower carbon footprint

H Ouadi, A Laalam, A Hassan, A Chemmakh… - Fuels, 2023 - mdpi.com
Multilateral well drilling technology has recently assisted the drilling industry in improving
borehole contact area and reducing operation time, while maintaining a competitive cost …

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 …

Design and Performance Analysis of Fishbone Wells in Solution Gas Drive Reservoirs for Drilling Decarbonization

H Ouadi, A Laalam, O Bakelli, A Chemmakh… - ARMA US Rock …, 2023 - onepetro.org
Multilateral wells have been proven to effectively produce hydrocarbons by increasing
reservoir contact, decreasing the drilling footprint and process cost, and reaching target …

Optimization of the proppant placement through the perforations in multistage hydraulic fracturing: A laboratory-scale experimental investigation

N Mouedden, A Laalam, H Feilen - … Technology Conference, 13–15 …, 2023 - library.seg.org
To meet production targets and report fewer operational issues, many companies are
looking to improve cluster efficiency during hydraulic fracturing operations by having more …

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 …

Evaluation of Liquid Loading in Gas Wells Using Machine Learning

A Chemmakh, OS Tomomewo, K Ling… - Petroleum & …, 2023 - commons.und.edu
The inevitable result that gas wells witness during their life production is the liquid loading
problem. The liquids that come with gas block the production tubing if the gas velocity …

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 …

[PDF][PDF] Water Saturation Prediction in the Middle Bakken Formation Using Machine Learning. Eng 2023, 4, 1951–1964

I Mellal, A Latrach, V Rasouli, O Bakelli, A Dehdouh… - 2023 - academia.edu
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 …

Sand Production Prediction Based on Deep Learning and BP Neural Network

H Jing, Z Tu, B Zhang, N Zeng, J Yi, X Yu… - ARMA US Rock …, 2023 - onepetro.org
Deep learning can better simulate highly nonlinear engineering problems through training
adjustment, and has good practicability for predicting invisible data. BP Neural Network …