Category: Energy (Oil & Gas)

Guest authored by Dr. Manas Pathak, Global AI Lead for Oil and Gas at Intel & Dr. Ravi Panchumarthy, Machine Learning Engineer at Intel — Introduction Convolutional Neural Networks (CNNs) offer State-of-the-art performance not only for traditional computer vision applications but also for seismic interpretation. Geoscientists can use CNNs for basin-wide quick look interpretation of […]

Geosemantics is the application of linguistic techniques to geoscience. Geoscientists often have access to more reports than they can reasonably read so they are commonly challenged in filtering through reports to find relevant information (for example, this report about the Wolfcamp and Bone Spring shale plays. Traditional Natural Language Processing (NLP) techniques such as Named […]

Guest authored by Eric Griffith, Digital Oil Field Division Manager at PDS Overview Oil and gas operators want their data scientists to run AI/ML workloads on Wellsite Information Transfer Markup Language (WITSML) data to extract more value from it. WITSML is an oil and gas industry data exchange standard in widespread use for delivering real-time […]

Introduction Data is fueling subsurface innovation, yet getting the data into a format that enables novel analytical approaches and enables end users to focus on using novel data insights to solve problems is a key challenge.  The Open Group OSDU™ Forum is developing a standard data platform for the oil and gas industry, which will […]

Large industrial enterprises in manufacturing, oil and gas, and electric transmission and distribution collect operational technology (OT) data from millions of sensors. Much of this valuable data remains unused sitting in historians with 80% of the world’s largest oil and gas companies and 65% of the industrial companies in the Fortune 500 relying on the […]

OAG Analytics software running on AWS accelerates collaboration between geoscientists and data scientists with seamless interaction of 100+ GB geo-encoded raster images in a web browser or mobile device. Problem Large geotagged raster images are frequently used as input data to, and are generated by, hybrid machine learning workflows that quantify subsurface resources like hydrocarbons, copper, […]

Download a Free Copy It’s not news that the global energy sector is facing its biggest challenge in recent history, driven by simultaneous demand and supply shocks that have driven the cost of energy to its lowest levels in history. Leaders in the energy industry, regardless of the company’s size or position in the value […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Eighty percent of all company data is unstructured. Energy companies are not the exception. One example is weekly and daily reports for drilling and production activity.  These reports include information about actions performed in the field to remediate common issues during […]

The oil and gas industry is certainly no stranger to innovation—whether it’s successfully drilling in the Gulf of Mexico, or on the opposite spectrum, the desert, or other places previously thought impossible to reach. In more recent times, the focus has been on innovation through digital technology. A World Economic Forum report notes that “as […]

Computer Modelling Group Ltd. (CMG) is an AWS Partner Network (APN) Advanced Technology Partner that delivers a revolutionary cloud solution for the oil and gas industry. Our solution provides engineers with faster simulation runs, giving them time to focus on reservoir and project analysis. In this post, I will introduce you to CMG, the concept of reservoir simulation, […]