DGI Blog

Achieving more optimum, cost-effective recovery from unconventional reservoirs—particularly at a time when independents are cautious about these investments—begins with an in-depth analysis of subsurface conditions. These conditions, which are critical inputs for frac design and production planning, are characterized by such data as:  formation lithology, porosity, permeability, modulus, compressibility data from core samples and drilling…

Efficient seismic exploration requires comprehensive data integration. When exploring mature or immature fields, the integration of production and geoscience data is one of the most important steps of the analytic process. The integration of such data will help team members understand the information presented to them, fostering a collaborative environment. With the ability to visualize…

Thousands of shale wells throughout the United States have performed below expectations, raising questions about the strength and profitability of fracking, notes The Wall Street Journal. One of the main reasons for this concern is the inability to determine how far a fracking event has spread underground. In order to visualize these microseismic events, asset…

Accurate reservoir performance analysis requires a detailed understanding of the correlations among multiple factors, guided by the experience and expertise of a multi-disciplined team. The sizeable financial outlays in exploration, drilling, and production demand optimum efficiency to maximize the return on investment.  Throughout the life of a reservoir, operators have the opportunity to monitor development…

To ensure accurate characterization of reservoir conditions and to maximize efficient and cost-effective decision-making, the integration of many sources of data, including well log data, fluid production data, and geologic models is required. Often, the sheer volume of data generated is a significant challenge to the process, as geoscientists and engineers work to combine and…

Permanent Reservoir Monitoring (PRM) produces large amounts of time-lapse seismic data that must be merged cohesively to procure the necessary data points that analysts need for sufficient reservoir surveillance. In order to obtain a better understanding of the reservoir, analysts must be able to seamlessly integrate these diverse datasets into one viewing environment.  An Example…

Hydraulic fracturing is the best way to extract resources from unconventional reservoirs, but operators need a mechanism that points them in the right direction. Microseismic data allow users to visualize the status of the frac, giving operators enough leeway to course-correct where necessary and make the appropriate decisions that will streamline the campaign. Operators can…

The characterization of subsurface conditions is vital when it comes to oil field production optimization. Production from a reservoir changes the initial relative volumes and saturations of oil, gas, and water contained within that reservoir. To make the best decisions during operations, analysts need clear visuals that can highlight these subsurface changes and superb analytic…

Analyzing several individual, temporally-spaced datasets is the basis for defining bypassed pay in mature field development. Bypassed pay identification requires the use of several individual datasets that have been simultaneously acquired throughout the productive life of a field. Analysts need software with the capability to integrate these datasets into a single viewing system. Data visualization…

Predictive analytics in the oil and gas industry is a vital tool that allows analysts to assess the full composition of recoverable reserves. Without a good understanding of the field, analysts can miss lucrative reserve locations and overlook potential hazards that could hamper operations.  The solution is a production history matching workflow that creates a…