Geological and Geomorphological Study of the Amudariya Syneclise (Middle Asia) for Petroleum-Bearing Structures Prediction: ABSTRACT

Abstract

The integrated analysis of geophysical, geological, geochemical, geomorphological and remotely sensed data was carried out using the computerized technology at two test sites of Amudaria syneclise: eastern part of the Charjou step and the area of gas field Gasly (Bukharskaya step). At the Charjou step the geological modelling of petroleum-bearing structures (anticlines, reefs) as well as different horizons of sedimentary cover was conducted. In the models we used the morphological parameters of structures from the depth of petroliferous units up to the surface by drilling and seismic data, gravity and magnetic data, geochemical characteristics of soils, characteristics of relief, landscape elements distribution, spectral characteristics extracted from remotely sensed data and others. The using in the models of the landscape data is based on the theory that landscape components, their distribution and changes are connected with deep geological structures due to neotectonic movements, alterations of the rocks covering petroleum pools and seeping fluids. The modelling of known structures allows to reveal the types of their expression in relief and to predict the location of these structures and their parameters (amplitude, size) on week investigated areas. The results of structural horizons modelling allow to compose the schemes of tectonic and petroleum zonationmore » and to predict the spreading of rest formation on Charjou step. The results of retrospective multispectral satellite and field data processing have permitted to reveal the secondary gas pool formed at the depth near 200 meters after failure on exploration well. At the test site Gasly geomorphological investigations using retrospective aerial and satellite images were carried out for the study of geological consequences of large gas field exploitation in connection with two destructive earthquakes. We obtain the data connected with recent tectonic movement which may be used for prediction of the earthquakes.« less