Unconventional/complex reservoirs
The $100-billion project is widely considered the largest unconventional development outside of the US and is noted by Aramco as the largest nonassociated gas development in the kingdom.
Technology developers expect the tight-oil industry to give lightweight proppants another look after the Permian Basin’s biggest operator becomes an adopter.
This paper presents a study of trapped-torque incidents during drillpipe connection, highlighting contributing factors and root causes and proposing prevention and mitigation measures for these transient events.
-
This study describes the performance of machine-learning models generated by the self-organizing-map technique to predict electrical rock properties in the Saman field in northern Colombia. -
Based on 6 years of firsthand experience, refrac experts share some of their biggest insights into where the US market is headed and how to identify the best candidates.
-
The new frontier of production improvement combines surveillance techniques and analysis to determine which variables boost output.
-
The KRI has become a significant player in the oil and gas industry. The authors use production data from key fields to explore the factors influencing both individual fields and overall production. An overview of the challenges and milestones in the region’s oil and gas sector from 2014 to 2023 enhances understanding of its evolution, current status, and future oppor…
-
High prices for untapped drilling locations in the Permian Basin have sparked some new trends in the tight oil dealmaking space.
-
Aramco’s investment pivot to gas aims to propel Saudi Arabia into the top tier of gas producers and LNG players globally by 2030.
-
The deal significantly expands the company’s position in the Bakken Shale play of North Dakota.
-
This paper highlights an approach of using active hydrogen to stimulate hard-to-recover formations from candidate-well selection through pilot execution and evaluation.
-
The authors of this paper review the advantages of machine learning in complex compositional reservoir simulations to determine fluid properties such as critical temperature and saturation pressure.
-
This study describes a technique combining borehole acoustic reflection imaging with production logging in a horizontal well experiencing high water cut with the aim of enabling a mitigation plan.
