The subject of the paper is a comparative analysis of technologies for monitoring well parameters through three phases of development. The research is based on a case study conducted on an oil field with 152 wells in Serbia. The aim of the study is to determine the impact of digitalization and wireless data transmission on operational efficiency and reduction of production costs. The methodology includes analysis of operational data collected during years of field work, including parameters such as number of operators, response time, and logistics requirements. Results show that the transition from manual data recording to real-time systems reduces the number of required operators by 83 percent. The total response time to changes in well operation was reduced from more than seven days in the paper phase, through two to three days in the digitalization phase, to 30 seconds in the real time phase. Analysis of logistics parameters indicates a reduction in daily vehicle mileage from 230 to 14 kilometers, accompanied by a 94 percent decrease in CO2 emissions. The paper also identifies limitations regarding data resolution and the influence of human factors on the speed of implementation of new solutions. The findings confirm the economic and environmental justification of introducing modern measurement systems in the oil industry. Identified intermediate phases point to the need for gradual adaptation of work processes to new technologies. The obtained data serve as a basis for future research in predictive maintenance and application of artificial intelligence algorithms in oil exploitation.
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Jankov et al. (2026) studied this question.
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