Global Geophysical sees unprecedented crew productivity on industry's first Ultra RG3D multi client survey
HOUSTON -- Global Geophysical Services, Inc. today announced that it has already completed over 40% of the data acquisition on its University Lands Ultra RG3D program, located in the Permian Basin. Recorded using Global's AutoSeis 32-bit High Definition Recorder (HDR) system, the 26,000 channel recording crew assigned to this project is averaging over 1300 vibrator points (VP's) per 12-hour day and has achieved peak productivities in excess of 1900 VP's per day. Utilizing high productivity slip sweep and offset separated vibroseis techniques pioneered by Global in the Middle East and North Africa, the crew is projected to complete acquisition of Phase 1 of this project in Q4 2012.
Richard Degner, Global's President and CEO, commented: "The University Lands project represents a step change in seismic data acquisition. Our Ultra Reservoir Grade(TM) 3D survey design for this project features a trace density in excess of 4.3 million traces per square mile -- 10 to 15 times greater than conventional 3D surveys. With a CMP fold of 1872 in a 110 x 110 foot bin, this Ultra RG3D(R) design sets a new standard for the full offset, rich azimuth datasets that comprise our Multi Client data library."
Chris Usher, Global's CTO, added: "This revolutionary program has been designed not only to ensure optimal imaging of all of the target horizons, but also to allow the computation of advanced reservoir characterization attributes such as our elastic Frac Factor(R) attribute for formation ductility/brittleness discrimination and our patented HTI (Horizontal Transverse Isotropy) technique for quantifying regional stress orientation and magnitude. These attributes, when combined with other geophysical and petrophysical measurements, provide invaluable insights into the reservoir heterogeneities that control hydrocarbon distribution and production. All of Global's Multi Client data library projects have been specifically designed to detect and delineate these heterogeneities so that drilling engineers can optimize their drilling, completions and production strategies in complex settings such as the Permian Basin."