Artificial intelligence (AI) and machine learning (ML) are transforming industries, where low-
cost, big data can utilize computing power to optimize system performance. Oil and gas …

Steam injection is a popular technique to enhance oil recovery in mature oil fields. However,
the conventional approach of using a constant steam rate over an extended period can lead …

Drilling optimization is a complicated multi-objective processing optimization problem.
During drilling, drillers need to adjust WOB and RPM continuously in a timely manner, not …

Operators drilling a directional well may suffer the uncertainties from the downhole
environment, the equipment, and the human decision-making process. We proposed a …

As technology continues to advance and become more integrated in the oil and gas
industry, a vast amount of data is now prevalent across various scientific disciplines …

Reinforcement learning is a novel approach for artificial lift in which optimal control policies
are learned through interactions with the environment. This paper reports the first …

Data-driven optimization for drilling operations is becoming increasingly important in the oil
and gas industry. Digitalization and utilization of historical offset well data can provide critical …

Well planning is considered to be one of the most demanding aspect of drilling. Well
planning is carried out to formulate a program for drilling a well in the safest and most cost …

Real-time analytics nests in and acts as the heart of the real-time system. Without discussing
the real-time system, it is pointless to discuss the real-time analytics part. In this chapter, the …

Operational decision-making during drilling for hydrocarbons or geothermal energy is
challenging due to the complex nature of the process. Many of the times, these decisions …