4/24/2021 0 Comments Seismic Processing Software
This crowdfunding model established product-market fit and created a small core of early adopters committed to using the software on real datasets.Pre-stack specialist company Sharp Reflections successfully commercialized the disruptive technology, and today is again working closely with Equinor to automate analysis of time-lapse seismic to monitor production in maturing fields.
Seismic Processing Software Software On RealData can be viewed as angle or off set slices or as traditional gathers, and are typically 10-100 times larger than a single stack volume. According to Norsk Petroleum, competitiveness mixed with innovation has driven the Norwegian oil and gas sector forward since its inception. Never has this been more important than now, as the world questions the role of oil and gas in the energy transition. The support provided by the Norwegian authorities for RD has also gone a long way towards fostering the innovative atmosphere that exists in Norways oil and gas sector today. Joint Industry Projects (JIPs) have played a key role in fostering long-term collaboration between oil and technology companies alike, allowing oil companies to pool support for projects with ambitious goals. The sense of inventiveness that is fostered also provides room for pivoting or changing the scope as results and testing take place. ![]() ![]() Th e adoption of new 3D seismic visualization technology powered by Silicon Graphics supercomputers was proven in the 90s, with entire 3D volumes being loaded directly to computer memory for interactive analysis. Th e new HPC technology had the potential to visualize much larger 3D datasets, using low-cost commodity computer servers. A nearly-unlimited number of 3D stack and attribute volumes can be loaded to memory on HPC clusters, and browsed interactively. Pre-stack gathers can also be accessed and displayed at specifi c locations. Depending on acquisition geometry, they are 10s to 100s of times larger than the equivalent full-stack volume: far too big to manipulate efficiently with standard desktop computers. As a result, pre-stack data were typically treated as an intermediate-stage processing byproduct, only rarely making it to the interpreter. Seeing the potential of the project, the initial seed funds were provided by Statoil. In just a few months the team at the Fraunhofer Institute could import and load 1 TB of pre-stack gathers into memory and interactively roam through the entire data volume. Users could inspect the final processed gathers at any location in the entire survey and quickly assess data reliability. After just a few test projects, it was clear that the toolkit would benefit greatly by adding a small suite of high-value processing tools to improve data quality. Seeing the long-term value of the research, Statoil launched a three-year strategic project to develop these tools. Under the original scope, the RD team delivered an advanced prototype with clear performance advantages. ![]() A JIP was formed to broaden the sponsor base, with Rock Solid Images (RSI) brought onboard as a development partner. RSI contributed a library of advanced geophysical algorithms that were adapted to the new compute engine, greatly accelerating the launch of the JIPs new commercial software, Pre-Stack Pro.
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