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all geography including DSDP/ODP Sites and Legs
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Formation, reactivation and exhumation of the extruded basement wedge in the southern Longmen Shan, eastern Tibetan plateau
Deforming the Upper Mantle—Olivine Mechanical Properties and Anisotropy
Seismic data interpolation using nonlocal self-similarity prior
Water Content and Deformation of the Lower Crust beneath the Siberian Craton: Evidence from Granulite Xenoliths
Facile fabrication of a stable fluorescent yellow X-10GFF/palygorskite hybrid pigment via semi-dry grinding
Fabrics and water contents of peridotites in the Neotethyan Luobusa ophiolite, southern Tibet: implications for mantle recycling in supra-subduction zones
The Himalaya in 3D: Slab dynamics controlled mountain building and monsoon intensification
Origin of high-velocity anomalies beneath the Siberian craton: A fingerprint of multistage magma underplating since the Neoarchean
XRF and nitrogen adsorption studies of acid-activated palygorskite
Optimized Chebyshev Fourier migration: A wide-angle dual-domain method for media with strong velocity contrasts
Accelerating 3D Fourier migration with graphics processing units
The Application of Electrical Resistivity Tomography to Detecting a Buried Fault: A Case Study
3-D Evaluation of the Ping Hu Field, East China Sea
Abstract Ping Hu Field, discovered in 1982 in the East China Sea, 365 km offshore China, consists of two structural closures on a complex, faulted anticline. Chinese authorities have planned for the field to provide natural gas to Shanghai in the 21st century. Five wells have been drilled, and more than 2400 km of 2-D and 118 km 2 of 3-D seismic data have been interpreted. Both structures were identified by 2-D data and drilled prior to acquisition of the 3-D seismic data. Interpretation included mapping key reservoirs and fault analysis. Reservoir composition, distribution, and lateral variations were described. These variations were determined by studying geophysical attributes of the data, which included instantaneous amplitude, frequency, phase, and acoustic impedance. Seismic data were inverted to acoustic impedance (density and velocity) and transformed into reservoir parameters. Crossplot regression analyses of petrophysical parameters were performed, and relationships between pairs of values of porosity, acoustic impedance, permeability, and water saturation were derived. An integrated geological–geophysical–reservoir engineering evaluation was required for accurate hydrocarbons-in-place calculations. The interpretation was utilized for field development planning, but implementation has been delayed due to distance from shore relative to field size.