Input-output efficiency evaluation of single well measure costs based on PCA-DEA method and Malmquist index

The input-output efficiency evaluation of single well measure costs helps oilfield companies grasp the current development status of single wells and achieve precise and efficient financial control, so that oil field management can realize the bidirectional integration of business finance. At present, the evaluation method of oilfield companies is not detailed enough, and it has not been organically combined with the input-output of single well measure costs. By constructing the evaluation index of single well measure cost input efficiency, using PCA-DEA combination method and Malmquist index, the static and dynamic evaluation of input-output efficiency evaluation of single well measure costs is carried out, and suggestions for improvement are put forward. The results show that at present, the input-output efficiency of measure costs per well in each block is generally good, but there is a problem of polarization, and the input-output efficiency of measure costs in individual blocks needs to be improved. The analysis results of dynamic evaluation show that most blocks achieve the improvement of production efficiency, and the level of technological change is the main factor restricting the input-output efficiency of measure costs. PCA-DEA method can solve the problem of inaccurate evaluation results caused by fewer blocks and more indicators, and Super-SBM model evaluation results are more accurate. This study has reference significance for the evaluation of input-output efficiency of single well measure cost, and can provide reference and guidance for oil field companies to further achieve high-quality development.