This review work summarised new generation logging techniques such Tough Logging Conditions (TLC) & Logging While Fishing (LWF) and their advancement in drilling operations. The production of Oil & gas from the stage of exploration to production should need a lot of data for economic and safe operations. The conditions of the sub-surface cannot be simply predicted unless with some measured parameters under the LOGGING term. Logging is defined as a continuous record of Petro’s physical parameters of rock against time and depth. Instead of conventional logging techniques of wireline such as SP, Gamma-ray, Neutron, Calliper log, etc, logging while drilling, logging while fishing set them aside of their extended applications. Logging while Fishing is a new generation technology that allows unfailing operations of logging tool by a special installation even in cut and thread operation also aids economic and time enhancement. Tough logging conditions are a technique applied either when the hole has highly deviated or when you need to control the position of a tool. This project includes the study and interpretation of above discussed new generation logs. These tools offer all types of logging carried out on wireline except the SP logging. Logging while drilling provides real-time measurements of physical parameters while drilling operation itself which avoids an additional running of tools causing trips and sticking of drill pipe. The data is stored in the bottom assembled logging tool.
The quality assessment of water is the need of the hour as water pollution has reached to an alarming level. The pollution of natural water bodies due to mine drainage system and mining activities is a major environmental concern worldwide. There are many potential reasons of water pollution such as agricultural, sewage, oil, radioactive materials, dumping & mining activities etc. Mining activities are responsible for the contamination of watercourses with metal and increment of sediment levels in it, however acid mine drainage can be viewed as the most lethal means of polluting watercourse. In this study an analysis was done on the water samples collected from different coal mines of Jharkhand and Telangana State. The WQI for each sample were calculated and correlated with their physico-chemical parameters. The lowest grades of the water samples are mainly due to the presence of the strongest correlated parameters. It was observed that the iron content in the samples has the strongest correlation with a Pearson coefficient of 0.9977 and highest significance with a P value lower than 0.001.
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