During the oil and gas crisis, which began in November 2014, all oilfield technology companies had to respond in a different way to the new demands of a prolonged lower commodity price environment, just in order to survive. Seismic acquisition services—traditionally the most capital-intensive part of the G&G value chain—was hit the hardest. During these painful few years, almost every seismic acquisition company reacted by severely reducing their workforce, “cold stacking” or selling their vessels, shelving vast amounts of land equipment (sources, receivers, etc.) and parking fleets of vibroseis trucks, and curtailing R&D spending.
The pioneers behind In-Depth Compressive, however, recognized a huge opportunity and began working tirelessly to create seismic acquisition and processing algorithms based on established compressive sensing techniques. Compressive sensing (CS) lies at the intersection of mathematics, computer science, physics, and electrical engineering, and takes its name from the premise that data acquisition and compression can be performed simultaneously. CS is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to “under-determined” systems. (Compare this with the standard seismic acquisition practice of adding more channels, shots, receivers, etc., with consequently higher costs and longer turnaround times.)
In-Depth Compressive acquires and processes theoretical and real CS seismic data, with a focus on land vibroseis data. Marine impulsive data lacks many of the spatial restrictions of land and is, thus, more amenable to the direct application of the CS technique.
1660 Townhurst Dr Ste A
Houston, TX 77043