non-spatial data analysis

Accommodating Non-Spatial Data Analysis in Decision-Making Workflows

Non-spatial data analysis is just as important as analyzing spatial data during hydrocarbon asset development planning. The combination of non-spatial data and varying streams of spatial data leads to better, faster, and more confident decisions.    That’s why data visualization software is so crucial, as it combines spatial and non-spatial data into simplified viewing formats. The…

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subsurface data analysis

Subsurface Data Analysis and Visualization: Exploring Spatial and Temporal Diversity

Subsurface data analysis requires software that offers great flexibility. In terms of visualization, a precise level of detail is required, especially when magnifying spatial data. To obtain further analysis, it’s often beneficial when a software package has temporal features that allow users to examine subsurface conditions ranging from milliseconds to years.  Because oil and gas…

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oil and gas project life cycle

Oil and Gas Project Life Cycle: Why Software Agility Matters in Optimizing Field Analysis

In any oil and gas project life cycle significant amounts of data are collected throughout all phases—exploration, drilling, early development, infilling, maturity, and decommissioning.  These data are vital to understanding and interpreting field characteristics and supporting optimized planning and operations during every phase of the life cycle.  As data from development wells are collected, they…

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seismic data visualization

4D Seismic Data Visualization: Why the 4th Dimension Is Just As Important As the Other Three

Visualization of subsurface data associated with hydrocarbon assets has evolved from the acquisition of millions of seismic data points (1D) that create two-dimensional (2D) images showing subsurface geology, to three-dimensional (3D) seismic data visualizations. The level of detail continually improves with more precise data acquisition capabilities, ever-greater data volumes, and sophisticated processing algorithms.  Although 3D…

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data fusion software

The Importance of Vendor Neutrality in Data Fusion Software

For oil and gas industry professionals looking to interpret data and understand the big picture, they must turn to data fusion software. No single software product serves all the needs of those involved in the exploration, development, and recovery of hydrocarbon assets. The different software packages—Petrel or GoCAD for characterizing reservoir and field properties, SeisWorks,…

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subsurface data types

The Advantages of Visualizing Subsurface Data Types for Prospect Analysis

Geoscientists know more than anyone the importance of analyzing seismic data during reservoir exploration. However, seismic datastreams are one component of a larger picture rendering accurate reservoir conditions. This is why the visualization of all subsurface data types in one central system is important for prospect analysis.  Without the capability to efficiently combine subsurface data…

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data in oil and gas industry

Getting Value From Publicly Available Data in Oil and Gas Industry

The oil and gas industry thrives on data, the overwhelming majority of it generated during exploration-drilling-completion-production cycles. But vast amounts of publicly-available data can provide valuable insight to guide a producer’s economic and operational strategy. Today, access to a wide range of relevant data in the oil and gas industry is proving to be as…

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subsurface data management

How to Obtain Subsurface Data Management With Integrated Software

During hydrocarbon exploration and development operations, vast amounts of subsurface data are collected and generated. The amount of disparate data collected makes it difficult to obtain subsurface data management for precise decision-making. The accuracy and timeliness of the decision process can be greatly enhanced using software capable of viewing all data in a single platform.…

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collaboration in the oil and gas industry

How Data Integration Fosters Collaboration in the Oil and Gas Industry

Drilling and completion operations are commonly the most expensive phases in developing hydrocarbon assets. Successful completion requires collaboration among geophysical, well planning, drilling, and completion teams. Using their respective software tools and data, each team contributes to the overall plan and execution to reach the target and maximize recovery.  With good reason, we can claim…

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