Yazılım çözümlerini kullanarak optimum sondaj noktalarının belirlenmesi
2015
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Advisor: Doç. Dr. Deniz Tumaç
Abstract (EN)
Nowadays, increment in population, industrial developments, life style of people, and technological progresses lead to rise in demand for energy sharply. It is obvious that 60% of the energy share belongs to fossil fuels reserves. Conventional methods are major systems that create pollution for environment. Besides, the reserves will be come to an end in a certain time of period. Developed countries are now using renewable energy methods such as hydraulic, wind, geothermal, biomass, solar energy, hydrogen based energy, wave energy on conducive to produce energy. Mostly those sources are beneficial for electrical energy. The energy demand of Turkey, one of the developing country, is increasing with rise of economy, population, industry, and consumption of resources. Turkey's foreign based energy dependent rate is 72%. In one hand the exploration of fossil fuels, in other hand defining potential of the renewable energy resources works are carrying out. Turkey is situated in the place of formation of Alp and Himalayas mountain belts. Very fractured structure while gained young tectonic period indicates that this region is rich of geothermal resources. The geothermal heat potential of Turkey is considered about 31.500 MW thermal. The first exploration in this country was started 45 years ago by General Directorate of Mineral Research and Exploration (MTA). 190 geothermal fields have been discovered until today during exploration work. The shares of the discovered field are given below. 79% in Western Anatolia, 8.5% of Central Anatolia, 7.5% in Marmara region, 4.5% in Eastern Anatolia, and 0.5% other. In exploration of geothermal field, geological, geophysical, geochemical, and drilling study should be carried on. These particular studies can be summarized with specific headings. To figure out of the lithological, stratigraphical, petrographical parameters of the field in terms of geology; to examine geophysical properties such as subsurface geophysics; to learn geological, tectonic, and lithological properties with the help of photogeology studies; To examine water chemistry with geochemical studies; To get acquainted with subsurface geology, hydrothermal geology, alteration zones, reservoir, cap rock's properties, lithological-stratigraphic and hydraulic properties of the formation with the help of drilling work. In this study, geothermal exploration work is investigated for an area located between Honaz-Kaklık and Acıgöl grabens. General geological stratigraphy and active faults in the field were investigated by the company in the area licensed. From 22 points hot water and cold water samples were taken. The major analyses were executed by the company as anion-cation analysis and heavy metal analysis. Hereby data which contains pH, electric current, and petrophysical parameters were obtained to create a database. The heat estimation was obtained for the target zone that considered existence of water in particular depth -2500 m. The target depth was investigated in terms of geology and stratigraphy of the field. Denizli group has green yellow red shale, limestone, and dolomite. This type of formations has no permeability although they have porous rock. Rock that has no permeability, considered cap rock for the reservoir. That is why the depth of this rock group became a target depth for this field. Below this rock group there is porous, high permeable limestone which regarded suffient reservoir to start a production. Nonetheless, based on geothermal gradient for the region was used for getting accurate result. Heat data that got from 22 sample points were used in Geostatistical program (GS+) in order to make estimation in terms of heat temperature, more than 60000 data were obtained. Considering Micromine software advantage in drawing more accurate graphic, data from Geostatistic program were used in Micromine program. The resultant graph's uncertainties were mentioned on the interpretation part. The field has certain water zones, and the resultant graph cannot be applied for all area since dominant faults were not used as a parameter in the softwares. It is obvious that presence of water depends on presence of faults and their structure. That is why the main investigation was based on the gravity and magnetic study was done by the company which was very costly. Obtained new data merged with data received from mining softwares (GS+, and Micromine) so that the more accurate temperature distribution was obtained at the end. Consequently, 3 drilling target coordinates were proposed, and their advantages and disadvantages were interpreted. Surely, the result of the geostatistical approach might be discussed. There is a necessity of more input parameter to increase accuracy of results. In this study, the availability of getting accurate result of optimum borehole coordinate was checked with the limited drilling data. The exploration optimum borehole coordinate could be obtained with MT (Magnetotelluric) method which is very expensive. However in the further stages results might be checked with MT method. In this study, the input parameters were selected for softwares. Numerical input values were correlated in terms of geology, lithology, and temperature. During software application, the only parameter used as an input was temperature. Since the study was focused on first exploration well to start drilling and test the reservoir. Temperature of the target depth were much significant on this stage. For instance temperature distribution data were sufficient to make a modeling on mining software as GS+. The only disadvantage were number of data provided from surface. However, r2 value for modeling was 87% which can be considered sufficient for kriging application. In last section of the study contains suggestions for further work. For instance after every new exploration or production well new data will be added as an input. The software application might be rerun after every new data input to decrease uncertainty of the result.
Author
Dr. Fariz Nahmatov
How to Cite
Fariz Nahmatov (Master Thesis). Yazılım çözümlerini kullanarak optimum sondaj noktalarının belirlenmesi, 2015, Istanbul Technical University.
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