IMAGING HYDROCARBON MICROSEEPS IN AZERBAIJAN K.H. Scholte (Ph.D. student) Department of Applied Earth Sciences The aim of this research project is to develop a methodology for detection and monitoring of onshore oil and gas microseepages using remote sensing, surface geochemistry and subsurface imaging to better understand the relation between tectonics and active oil and gas seepage in Azerbaijan. Introduction Oil and gas reservoirs leak resulting in gas and oil seeps at the Earth surface. This poses environmental threats and the emission of the greenhouse gas methane at seeps contributes an unknown volume to global change processes. In Azerbaijan seepage occurs in oil mud volcanoes that erupt regularly and episodically. Studying the relation between these eruptions and local tectonics and stress state in the lithosphere allows to better understand the relation between seeps and plate tectonics. Seeps also cause changes in the mineral stability and chemical reactivity at surface, what will be assessed using imaging spectrometry and surface geochemistry. It is the combination of remote sensing and geological modelling that is the innovative of this research. It bridges the gab between the remote sensing community and the geological community on an issue that is of interest to industry as well as to the global change community. The project is planned from September 2000 to September 2004. Recent Results Hydrocarbon microseeps are indirectly detected using low spectral resolution data such as Landsat Thematic Mapper (TM). A remote sensing data inversion using Landsat TM data is carried out and the preliminary results show a typical spatial distribution of a combination of different surface alteration spectra in twenty selected mud volcanoes (figure 1). Several surface alteration combinations (classes 1, 2, 4, and 8 (figure 1)) are found to be representive for all mud volcanoes. Research plan for 2001 A field survey will be carried out to collect hyperspectral data on mudvolcano surface properties. Field and image data will be employed to spectrally characterize the oil seeps (oil-“mud” flows) with the aim of allowing to classify these flows in terms of relative age because of differences in weathering condition and new-growth of minerals Backstripping and forward basin modelling techniques will be used to infer the stress state of the lithosphere in recent geological history The field data we obtain will be compared with historical records of mud volcano eruption, seismological data, and sun spot activity to obtain a better understanding of the mechanisms triggering and controlling oil mud volcano activity In cooperation with the Faculty of Geodetical Engineering, satellite radar interferometry will be used to investigate recent mud volcano surface deformations and movements To find a concept for a process based model to integrate sub surface seismic data with surface spectral data to dynamically model surface measurements. Planned Courses tg001: An overview of standard seismic processing applications tg211: Geological outcrop analysis Private course in Russian Completed Courses tg114: Field and Imaging Spectrometry for Geologists Visiting Scientists From October until December TA had three visiting scientists: two from the Geological Institute of Azerbaijan Academy of Sciences and a Ph.D.-student from Moscow State University, Department of Geography. A good data and knowledge exchange is established what resulted in an abstract to be presented at the EAGE conference in Amsterdam 2001 (see research output). A paper for an international journal is in preparation. Education Supervised the practical part of the first year course ta1940 Remote Sensing Research output Scholte, K.H., F. van der Meer, S.B. Kroonenberg, I. S. Guliyev, M. Malkhazov, E. Aliyeva, D. Huseynov; 2001, Remote sensing data inversion to map onshore oil mud volcanoes, Azerbaijan, EAGE 63rd Conference & Technical Exhibition - Amsterdam, The Netherlands, 11 - 15 June 2001. Figure 1. Part of a Landsat TM image of the South Caspian Basin,displayed by TM band 4 and UTM coordinate system. Five classified mud volcanoes are given by figures A, B, and C. Figure A shows three small mud volcanoes with different spectral input data combinations. Figure B shows a big mud volcano with a crater fully classified as class 4. The striped pattern represents mud and breccia flows. Figure C shows Lok Batan mud volcano. In the centre of the crater spectral input data “natural oil seepage” is found. The outside crater is mainly classified as pyrite and bright soil. 320000 330000 340000 350000 4450000 370000 360000 2 4450000 1 4440000 4440000 3 4430000 320000 A 4 330000 1 1 6 4 340000 B 4 1 350000 2 8 4 6 4430000 370000 360000 C 3 9 4 2 9 2 1 9 2 1 Natural oil seepage and bright soil 6 IV and Pyrite 2 Natural oil seepage and II 7 Natural oil seepage and General 3 Natural oil seepage and IV 8 II and Pyrite 4 Gryphon and Pyrite 9 Pyrite and bright soil 5 Natural oil seepage and Gryphon 10 General and Pyrite 2 EM class class 01 class 02 class 03 class 04 class 05 class 06 class 07 class 08 class 09 class 10 4 total % 14.19 17.05 2.26 26.21 3.58 7.60 2.21 13.71 9.92 3.28