Paul White has worked at DGI for 36 years. He is currently the Senior Data Analyst with an emphasis on Visualization. Paul's specialties include 3D earth modeling, 3D/4D visualization of earth science and remotely sensed data, mapping, software design, software prototyping, and project coordination.

microseismic data interpretation

Advanced Technology for Microseismic Data Interpretation

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…

reservoir performance analysis

Reservoir Performance Analysis: Obtaining the Complete Picture

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…

well log data

Visualizing Well Log Data to Understand Reservoir Performance

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…

reservoir surveillance

Reservoir Surveillance: Understanding the Role of Data Integration in a PRM Environment

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 in unconventional reservoirs

Understanding Hydraulic Fracturing in Unconventional Reservoirs Through Microseismic Data Visualization

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…

mature field development

Enhancing Mature Field Development for Bypassed Pay Extraction

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…

seismic history matching

Seismic History Matching: Analyzing and Validating Reservoir Models with 4D Visualization

4D seismic surveys play a vital role in monitoring oil and gas fields. Acquired data provide spatial information regarding changes that occur during the course of production. This information is used to update reservoir simulation models, increase the reliability of production forecasts, and improve field management. Seismic history matching requires integration of a wide range…