DGI Blog

Analysis of the latest news, trends, and technology from the oil and gas industry

Managing Risk in Unconventional Reservoir Development Through Visualization of Geologic and Petrophysical Data

The inherent risk in any reservoir development project can be significantly reduced by utilizing the wealth of data to better understand the subsurface environment. Advancements in data acquisition technologies throughout all phases of reservoir development and software solutions are allowing reservoir teams to integrate, visualize, and analyze these data more efficiently and confidently than ever before.

Risk Management in the Oil and Gas Industry: Multidisciplinary, Vendor-neutral Visualization for Better Decisions and Reducing Risks while Drilling

One sure way to minimize risk, regardless of the situation, is to obtain as complete and accurate information as possible regarding the activity you‘re engaged in or the decisions you need to make. In some instances, risk management can be relatively easy—lock your doors when you leave the house, wear a seatbelt in the car. In many other areas, risk management is far more complex because of the myriad factors that can impact the success of an activity.

Microseismic Monitoring: Measuring the Effectiveness of Reservoir Stimulation

Microseismic monitoring is helping reservoir engineers plan and execute more effective stimulations to maximize recovery. Over the past two decades, innovations in surface array and downhole geophone technologies—combined with algorithms that filter “noise” from sources such as pumping and surface operations—have improved the accuracy of locating and characterizing microseismic events.

Visualizing Open Hole Data for Multi-Disciplinary Teams

With the proper instrumentation, a wide range of logging data can be acquired during and after the drilling process. Open hole data acquired before casing the wellbore is generally used by production engineers and geoscientists to gain a better understanding of key subsurface and reservoir characteristics. A large volume of log data collected helps engineers and geoscientists to develop a well-informed completion strategy.

The Value of Temporal Data Analysis in Reservoir Management

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.

Reducing Extended Reach Drilling Challenges With Data Integration

Extended reach drilling (ERD), characterized by paths with long horizontal distances, is an approach to cost-effectively recover reserves. With a single wellbore, long-reach wells maximize reservoir exposure to boost productivity and enhance drainage capability. ERD also brings the advantage of reduced environmental impact, reaching remote targets or covering a larger area from a single drilling pad.

Minimizing the Uncertainty of Well Trajectory Calculations

Minimizing the Uncertainty of Well Trajectory Calculations

Positional uncertainty can be calculated anywhere along the wellpath, from tie-on to total depth.A well-understood fact: Absolute location accuracy is nearly impossible because of the inherent positional uncertainty (commonly referred to as “errors”) in measurements...

Accessibility Tools
hide

Share on Social Media