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To consider paleo environment reconstruction of Cenomanian, Cretaceous using chemostratigraphy, TOC measurement, geochemical and biomarker analysis.

This paper presents how an asphaltene problem in a jet pump operation well was solved. A new inhibitor was selected and tested for the well. Selected asphaltene inhibitor was efficient at dispersing asphaltenes. It achieved stable injection pressure and reduced asphaltene deposition amount. A follow-up laboratory test revealed the asphaltene deposition amount decreased by adding paraffin inhibitor. This field test result revealed the asphaltene and paraffin interaction in field scale.

We present the main reason behind two low-salinity waterflooding (LSW) coreflood tests, that failed to demonstrate promising EOR response. Repeating the coreflood tests using the acid-enriched oil and injecting the low-salinity brine in the secondary and tertiary modes has led us that the total acid number (TAN) and the recovery mode appear to be the key successful factors for LSW in our carbonate system.

Acquisition of incomplete data, i.e., blended, sparsely-sampled and narrowband data, is an attractive strategy, provided that the recovery of complete data, i.e., deblended, well-sampled and broadband data, is attainable. We propose a machine-learning scheme that simultaneously performs deblending, trace reconstruction and low frequency extrapolation. Both synthetic and field data examples demonstrate the applicability of the proposed method. It is noteworthy that no discernible difference in prediction errors between extrapolated and preexisting frequencies is observed.

Reliable chrono-stratigraphic correlation is crucial in the reservoir evaluation. Geological age determination based on nannofossils in Middle East gives a better control for the stratigraphic correlation, however it requires skilled experts and time for appraisal. In this study, we try to provide solution with emerging AI technology. The result shows that a deep-learning-based object detector reasonably identifies nannofossil species on micrographs and can deliver information useful for the geological age assessment.