Fang, Xinding (Massachusetts Institute of Technology) | Fehler, Michael (Massachusetts Institute of Technology) | Zhu, Zhenya (Massachusetts Institute of Technology) | Chen, Tianrun (Massachusetts Institute of Technology) | Brown, Stephen (Massachusetts Institute of Technology) | Toksöz, M. Nafi (Massachusetts Institute of Technology) | Cheng, Arthur (Halliburton)
Geophysical imaging and subsurface characterization for offshore petroleumexploration and reservoir characterization face increasingly demandingrequirements for reliability and for providing increased information about theearth's subsurface. New methods for data acquisition, data processing andsimultaneous analysis of multiple types of geophysical datasets (e.g. seismic,EM, gravity) are helping to meet these challenges but there is need to testthese methods and to quantify their robustness. Testing and evaluation of newmethods can be done using simulated benchmark datasets provided the simulationsare calculated using realistic models and that the simulation methodology iswell validated. The benchmark datasets must not only be reliably calculated butthey must be sufficiently large to mimic state-of-the-art fieldacquisitions.
The SEG Advanced Modeling Project (SEAM), using funding provided by theResearch Partnership to Secure Energy for America (RPSEA), has developed amodel for a deepwater region that contains a major salt body and severalpetroleum reservoirs located around and beneath the salt. Constructing andconducting geophysical simulations on the model is a challenge for currenthigh-performance computing technology. A suite of geophysical simulations isbeing conducted on the model including acoustic-wave, Tilted TransverseIsotropic acoustic, Gravity, Controlled Source Electromagnetic, Magnetotelluricand Elastic. Geophysicists are actively using these datasets to facilitatetheir development and testing of new algorithms and acquisition schemes forbetter subsurface characterization. The access to large multidisciplinarydatasets calculated on a single realistic model developed for a deepwaterregion like the Gulf of Mexico has long been desired to allow testing andbenchmarking of geophysical techniques, testing of new data acquisitionschemes, and assessing the value of multi-disciplinary inversion approaches.SEAM is seeking to provide these datasets for the geophysical community.