摘要
pan id="EnChDivSummary" name="EnDivSummary">Lithology identification is the basis of logging evaluation of gas hydrate reservoirs and its accurate information will provide a reliable foundation for gas hydrate exploration,thus it plays a big role in searching for gas hydrate and estimating gas hydrate reserves.In view of the well MK-2 for scientific drilling and exploration of gas hydrate in Mohe permafrost,we performed lithology identification by using the cross plotting method and the Support Vector Machine(SVM) method based on the core data and conventional logging data.Five lithologic categories were identified in the study area,including sandstone,mudstone,limestone,mylonite and argillaceous slate.These lithologies can be qualitatively identified according to their logging response differences and they can also be quantitatively identified through the cross plotting of SP vs.resistivity logging.The lithology identification model built with the SVM method can recognize the lithologies in the study area with an accuracy ratio of up to 96.67%.These methods successfully solve the problem of lithology identification in the study area and can be also used in logging evaluation of gas hydrate reservoirs in such areas with similar geologic conditions.pan>
