DGI Blog

Geologic structures, subsurface conditions, and reservoir production are described by a combination of diverse datasets generated or acquired throughout the reservoir lifecycle. Over time, these datasets essentially depict the reservoir evolution. Unfortunately, data diversity, proprietary formats, different timesteps, and discipline-specific software used to manage and analyze these datasets inherently limit their value. Individually, datasets tell…

While there are traditional approaches to the structural interpretation of seismic data for oil exploration and velocity modeling in the industry, these approaches can be enhanced through advancements in technology. Without the ability to integrate and visualize all relevant data in a comprehensive environment, professionals may overlook valuable pays.   Geoscientists can benefit from rapid updates…

While there’s no way to completely eliminate mishaps and failures that can create potential risks in oil and gas production, operators can implement key monitoring measures that help them find precarious aberrations sooner rather than later.  In order to properly monitor changing reservoir conditions, engineers need a software system that fosters a wider understanding of…

Data associated with hydrocarbon assets are vital to efficient recovery. At every step of the reservoir lifecycle, data provide reservoir teams with insight to help understand subsurface structures and conditions, evaluate alternative development strategies, and closely monitor operations. Innovations in seismic, drilling, and wellbore technology are generating ever-greater volumes of reservoir and operational data. Sophisticated,…

The monetary valuation of an asset is a very traditional process that has always involved the integration of data. And, while advancements in technology have streamlined the oil and gas reserves valuation process, professionals still desire a method that will allow them to answer the following question succinctly: Is the reservoir in question going to…

Well-site Information Transfer Standard Markup Language (WITSML) is the industry standard for transferring well site information (obtained via MWD and LWD tools) in an XML format from drilling rigs to other locations. Data obtained from disparate surface and downhole tools can be collected and centrally managed by WITSML servers. With the proper software, these data…

When conducting oil and gas data production analysis, engineers typically examine differing production volumes from various frac stages in a well. And while examining unstimulated and stimulated reservoir volumes (SRV) is integral, the geologic, petrophysical, geophysical, and engineering data should also be analyzed to form a complete characterization of a reservoir.  In order to form…

Maximizing the recovery of hydrocarbon assets begins with a detailed understanding of geologic, geophysical, and petrophysical characteristics of the reservoir provided by seismic surveys, well tests, and reservoir models. With that information in hand, reservoir and drilling engineers can evaluate various wellpath options with the goal of reaching the target zone in the most cost-efficient…

When drilling engineers are looking for insights that lead to improved drilling performance, they often turn to drilling data analytics. Those critical insights come in the form of drilling data that paints a realistic picture of subsurface conditions, steering engineers in the right direction during a drilling campaign.  By integrating drilling data with other multidisciplinary…

Today, oil and gas data can be as valuable as the hydrocarbon assets they characterize. Access to relevant data greatly enhances an asset team’s ability to assess economic potential, plan development, and accurately monitor reservoir performance. Individual datasets—seismic, petrophysical, simulations, cuttings, well logs, production—describe the evolving reservoir conditions. These data are the domains of a…