Well Logging Evaluation Technology For Argillaceous Shale Favorable Reservoir Of Dong Ying Depression

Abundant hydrocarbon resource deposits in dark color argillaceous shale belonging to oil-generating rock series in Sha IV,Sha III members of paleogene Dongying Depression of Shengli oil and gas blocks which become one of main explorating areas of current unconventional oil and gas exploration. But traditional understand normally take argillaceous shale as hydrocarbon soure rock and cap rock. Well logging data evaluation of oil and gas in argillaceous shale is a new subject of domestic oil and gas exploration, which does not forms complete, mature and aimed well logging data evaluating technique. Because of cmplicated lithology, variety of endowing pattern and reserving space of oil and gas, obvious anistropy and invisibility of exploration in argillaceous shale, huge difficulty exists in interpretion and evaluation of oil and gas in argillaceous shale utilizing well logging data.Based on acquisition of first hand data including experimental analysis of cores, mud logging and well test, well logging responsing characteristic of argillaceous shale is analyzed by porosity, resistivity and all kinds of imaging logging data with combination of other mud logging data and geological information including cores, gas survey, drilling, trough surface and geochemistry. Based on characteristic of favorable reservoir of argillaceous shale in Dongying Depression, analysis of six reservoir correlations among characters of rock components and structure, physical character, geochemical character, well logging property, oil bearing character and fracturing character is developing which establishes interpreting models and techniques of calculating related evaluating parameters by well logging data. Calculating methods of key parameters in well logging evaluation including components and volumes of minerals(clay, sandy rocks, carbonate, other minerals), physical parameters(porosity, permeability, etc.), geochemical parameters(remaining volume of organic carbon, free hydrocarbon, pyrolysed hydrocarbon), oil bearing parameters(water saturation, oil bearing bulk, etc.), fracturing parameters(difference of pressures, fragility index, etc.) are researched in this dissertation. Based on different well logging series, key parameters of evaluating rock types classification are determined and well logging interpreting methods and patterns of recognizing and dividing beneficial favorable reservoir in argillaceous shale of Dongying Depression are established. More than 170 old wells re-interpretations with show of oil and gas in favorable reservoir in argillaceous shale of Dongying Depression are developed. Optimally selected logging data of 30 wells are finely interpreted and evaluated of which coincidence rate between evaluating results and well test reaches to 86.5%.For the first time, calculating methods of five kinds of parameters including components and volumes of minerals, oil bearing and fracturing parameters in argillaceous shale of Dongying Depression are established and evaluating standards of beneficial reserving section in shale are constructed in this dissertation. The methods in this dissertation are applied to new wells of which drillings are finished including NY1, FY1, LY1 and N52, etc in Dongying Depression which have better general adaptability. Interpretation coincidence rates in argillaceous shale zones of these wells are improved obviously and expected researching aims are reached. Outcomes of research have significant meaning to providing technical supports for oil and gas exploration and exploitation and pushing oil and gas exploration of unconventional resources in Dongying Depression, which provide thoughts and methods to developing well logging data evaluation of beneficial favorable reservoir in argillaceous shale of other blocks from now on.