Articles

A Comprehensive Evaluation of Groundwater Quality for Irrigation in Tehsil Bah, Agra, India

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A higher agricultural yield depends on the quality of the water used. A significant source for irrigation is groundwater. 84 separate study locations had groundwater samples that were collected and analysed using the procedures outlined in the 2017 American Public Health Association, 23rd Edition (APHA). Tehsil Bah in the Agra district of Uttar Pradesh had its groundwater quality evaluated for irrigation purposes. Sodium adsorption ratio (SAR), sodium percentage (Na%), Residual Sodium Carbonate (RSC), Permeability Index (PI), Magnesium Ratio (MR), Electrical Conductivity (EC), Kelley’s Index (KI), base exchange index, and meteoric genesis index were used to assess the suitability of groundwater quality for irrigation. 96.4 percent of groundwater samples were deemed inappropriate for irrigation according to the Wilcox diagram, with 3.6 percent of samples falling into the questionable to unsuitable category. All the samples fall into the C3-S1 and C3-S2 water classes, which denote water with a high salinity hazard and a moderate to medium sodium hazard, according to SAR and electrical conductivity values plotted in the US salinity diagram. The amount of dissolved substances in groundwater determined its suitability for irrigation. According to the classification, all of the reported values of Na percent fall into the good and medium category. RSC values range from -3.61 to 4.24, with 7.1 percent of samples falling into the bad and very bad category and not suitable for irrigation use, while the remaining 92.9 percent of samples fall into the excellent, good, and medium category.

Determination of the Maxx Prospect Zone Petrophical Parameters in MA06 Well MA Field with Log Data Analysis

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The well logging method is one of the methods used in petrophysical analysis to assess the formations used in obtaining information and shadows related to a reservoir. In addition, in an effort to determine success in the oil and gas field, this method is also included for calculating petrophysical values such as permeability, water saturation, and porosity. Then this value will be used in finding the initial oil reserves (OOIP) and initial gas reserves (GIIP) in the MA field. This will be very helpful in developing further oil and gas fields because materials are available as a basis for reference. This study analyzes the MA field precisely at the MA-06 Well by utilizing the qualitative and quantitative petrophysical analysis method by only referring to log data because there is no availability of core data. To find out the depth of the prospect zone and what fluid is in the formation, the authors analyze it in a qualitative way, namely by determining the permeable zone, then looking at the resistivity value, then determining the type of fluid on track 3. While in obtaining petrophysical values such as shale volume, porosity, water saturation and rock permeability the authors chose to use quantitative methods to analyze them. So that the results of the analysis carried out, it was found that the MAXX well has a net sand thickness of 36 feet and a net pay of 36 feet with an average value of shale volume, porosity, water saturation and permeability in that zone respectively 34.8%. , 18.03%, 35.3%, and 38.31 mD.