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…
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…
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…
Engineers know about the massive undertaking needed to interpret various data streams from many disciplines. The process not only has the potential to bear a heavy cost but it can also waste vital time needed to extract the best data possible. And, the learning curve can be a daunting task as team members attempt to…
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,…
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…
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…
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.…
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…
With so many oil and gas software applications and so much multidisciplinary data to analyze, it can be cumbersome sharing vital information across disciplines. Many have found a solution in the collaboration of data visualization software, Python, and Jupyter Notebook, which makes it easier to organize data and share and document custom workflows. Achieving Data…