A NEW METHOD FOR CARBON ISOTOPE PREDICTION IN SUB-SALT CARBONATE SOURCE ROCKS
Traditionally, carbon isotopes were obtained through experimental analysis of cored samples. But the experimental data obtained by this method is limited and discrete. Well logging data has the advantage of high resolution, abundance, and continuity. Therefore, we propose to establish a logging interpretation model to predict the carbon isotope in sub-salt carbonate source rocks.
We continuously sampled and tested carbon isotopes from Majiagou Formation from a well in the central and eastern Ordos Basin, and found that the range of value range has a good correlation with conventional logging, especially the radioactivity curve. Subsequently, it was found that the value range of carbon isotopes changed greatly in the open platform dominated by dolomite, while the change in the restricted platform dominated by limestone was small, because the gypsum developed in the open platform and thermochemical sulfate reduction (TSR) occurred, resulting in negative drift of carbon isotopes. Therefore, we used conventional logging data, fully considered the changes of sedimentary environment, and chose local polynomial regression to predict carbon isotopes.
And it is also proposed a carbon isotope value of <-2‰ should be considered indicative of effective source rocks when the lower limit of total organic carbon content is 0.2%, with the potential for increased thickness of the source rocks. The results of the study lead to better understand the hydrocarbon generation history of ultra-deep carbonate source rocks, which is of great significance for future to evaluate the effective source rocks of high and mature carbonate rocks.