Technique And Application Of Recognizing Oil Shale Effectively Using Logging Data

Oil shale is a kind of important alternative source of energy,Currently, with the increasing demand for oil and gas energy resources, but the oil and gas energy resources belong to the non-renewable resources, so we need to find another substitutive resources urgently to alleviate the energy pressure.Because of oil shale,enormous reserves,it is the important substitutive energy resources of oil and gas in the future. Not only oil shale,comprehensive utilization value can alleviate to the contradictory of the oil and gas resources,supply and demand effectively in our country,be advantageous in the circulated economy development,enhance the support capabilities owing to the sustainable development of our economic society, but also it can make good economic and social efficiency.Therefore,at present the study of the technology of recognizing oil shale effectively using geophysics method is deficient, it is vitally significant to establishes a set of technology to recognizie oil shale.According to the observation on the field sections, combinated with the drilling and log and test materials, the thesis analyze and study the oil shale characteristics in target area. Most of oil shale in southern Songliao Basin are mudstones, carbonaceous shale, argillaceous siltstone and siltstone.The colour are mainly black～gary-black, charcoal grey,gray and taupe.By the analysis of X-ray diffraction and infra-red spectrum, the components of oil shale in southern Songliao Basin are detrital mineral such as quartz, feldspar and clay mineral such as kaolinite, andreattite, goeschwitzite and iron pyrites, calcite, also a minimum of plaster.According to the chemical element analysis of kerogen in Southern Songliao Basion, the oil shale is mainly consisted of carbon, hydrogen, oxygen and nitrogen element, the oil shale yield has positive relationship with the content of organic carbon. According to the ratios of elements (H/C and O/C),the ratio of H/C is between 0.65 and 1.75,and the ratio of H/C is between 0.01 and 0.12.So the oil shales whose original hydrogen content are high and the oxygen content are low in Southern Songliao Basion consist of the types I and II kerogen.The quality of shale oil in Songliao basin is medium preference.The oil shale yield is between 4.53 and 7.09 percent,the highest is 12.1 percent,the averageof oil shale yield is 5.06 percent. The oil shale yield in Qingshankou formation is higher than the oil shale yield in Nenjiang formation.The ash content of shale oil in Songliao basin is between 79.72 and 86.30 percent,the average is 84.62 percent. The calorific value of oil shales is different from each other which is mainly between 2.74MJ/kg and 10.88 MJ/kg,and the average is 6.64MJ/kg. There are some apparent positive correlation between oil grade and their calorigic value,and the calorific value in the different formation of the same areas is not same.According to the test and analysis, the vitrinite reflectance (Ro) of oil shale is between 0.45 to 0.50 percent. the maximum temperature of pyrolysis yield of hydrocarbons (Tmax) is between 435 and 446℃, which reflected that the thermal evolution degree in target areas is in the prematurity stage or low maturity stage.According to oil shales,s ensibility in target area to different logging mode,we get the features of single well logging curves and also the features of the comprehensive logging curves. According to the logging data, we have established logging information with oil shale yield for the quantitative relationship,which provides the accurate and the reasonable reference information.We evaluate oil shale using resistivity and acoustictime and resistivity and natural gamma ray superposition method(?logR method),which have established the quantitative relation between logging data and organic carbon content in oil shanle.And further more we have established the quantitative relation between logging data and oil shale yield. The oil yield model of the oil shale is also set up to quantitatively evaluate the oil shale based on logging data.We analysis the the advantages and disadvantages of the techniques, and have obtained the certain knowledge,also have summarized some valuable laws.According to the principle of multivariate statistical regression analysis, if there are two or more dependent variables which are closely related and they themselves are dependent variable which are not interrelated,the multivariate regression results are superior to the single variable results, through the analysis of the cores and their well logging curves,we have selected the logging parameters which have good abilities to recognize oil shales,using this multiple linear regression analysis method,we have established the linear regression equation between oil shale yield well logging parameters, and multivariate linear regression equation between the oil shale yield and oil well logging data, We use this method to recognize oil shale which have no well cores,and supply the further research material for geology study of the target areas,According to the study of the data,the oil shale yield in target areas have good corelation with resistivity, acoustictime, natural gamma and density ray.That is,we estimate and predicte oil shale shale yield using logging parameter,and have obtained a grest deal of achievement and understanding. Testing and analysis show that some oil shales in the same well are sensitive to the same logging culves and others are sensitive to two or more logging culves.We must filter the logging data and make large amount of tests before application to find the good correlation. Do not apply this technology with no purposes,causing economic loss and wasting human labor force.