Emerging Oilfield Technologies

This article provides a mirror between the past and the present of well intervention technologies, including R&D to advance to downhole robots and autonomous intervention methods.

We connected with Carbon Clean CEO Aniruddha Sharma to learn about his journey taking the company forward and how carbon capture is strategically important to move toward the net-zero goal. He also sheds light on the positive changes in the startup ecology that have sprung up recently as compared with the days when Carbon Clean was started. Finally, he has some pertin…

Disruptive digital technologies change the world, altering fundamental aspects of how we work and live. A new generation of digital technologies, enabled by blockchain, could make processes faster and create opportunities both for businesses and individuals. Blockchain-based technology could also help accelerate the energy transition.

The use of logistic growth models can provide a simple framework to evaluate CO2 storage scale-up and constrain outputs from existing energy systems models.

Data validation is not a direct out-of-the-box process and requires planning and even budgeting, but high-quality data can save your time, money, and effort.

The enthusiasm for AI practice is growing rapidly across all industries. This article gives a brief overview of AI's key elements.

The SPE Research Portal uses artificial intelligence technology, fortified by industry knowledge, to address the long-term challenges of finding and analyzing information in unstructured data.

Traditional solutions do not solve the problem of flaring. The large amount of power produced at the well pads using power generators or turbines may be utilized by heavy duty equipment or some other type of a large electric consumer—Bitcoin.

The oil industry has not treated reservoir crude oil with the same degree of rigor as it does reservoir rock formations. Reservoir fluid geodynamics is a new technical discipline that accounts for hydrocarbon compositional redistribution and phase change in reservoirs in geologic time.

If you have used the random forest algorithm, then you already have used the Ensemble Machine Learning (EML) method, probably without realizing it. This article will explain, in very simple terms, the principle behind this relatively new ML paradigm.