Combining Quantitation of Remote Sensing Information of Local Structures-Bearing Oil/Gas of Marine and Calculation of Structural Deformation and Stress Field

Abstract

Yang, X.; Yang, W.; Liu, H.; Qin, Z., and Wu, X., 2015. Combining quantitation of remote sensing information of local structures-bearing oil/gas underground and calculation of structural deformation and stress field.Marine oil and gas resources are very rich in China, especially in coastal zone and shallow sea continental shelf, but the exploration technology is relatively underdeveloped. The tectonic stress field is crucial to the study of tectonics, engineering, marine geology, seismology and the exploration of marine resources. In the exploration of marine resources, it is often necessary to study the mechanics and deformations of the rock in the oceanic crust. An iso-elevation line map of the fold's structural layer is a basic way to indicate the features and shapes of the fold, which is more important -especially in the field of exploratory marine petroleum engineering. To draw this map, though, requires a great deal of data, for structural profiles and drilling. It is very difficult to obtain these data, especially in mountainous regions or areas where mineral exploration has recently begun. This greatly limits the progress of marine exploratory engineering. In this paper, the author proposes a new theory and method for calculating the structural stress field using the composite quantitative data of remote sensing information on circular structures and related linear structures, in order to approximate the iso-elevation line map of local structures on the basis of the phase-separation analysis of remote sensing information field and the theory of elastic mechanics. The theory and method have been practically applied in many tested areas, and its effects are remarkable. ADDITIONAL INDEX WORDS:The exploration of marine resources, combining quantitation of remote sensing information, circular/ring structures, linear structures, structural stress field, quantitative analysis.