SOFTWARE MODULE FOR FEASIBLITY STUDY OFEFFECTIVENESS OF DEVELOPMENTAND SURFACE ARRANGEMENT OF GAS AND GAS CONDENSATE FIELDS AT PRE-FEED STAGE

Abstract

The article describes the module called «Feasibility study system» in the RN-KIN software package for calculation of development and surface arrangement, automatic generation and optimization of development strategy for gas and gas condensate fields at «pre-FEED» stage.The purpose of creating «Feasibility study system» module is to improvethe quality of operational decisions about involving gas and gas condensate fields into development, to consolidate geological, technological and capital cost information, also to maximize the automation of calculations.The module allows quickly select analogue objects, automatically perform many calculations of development indicators and surface facilities. Also, the program implements the possibility of organizing multivariate calculations with enumeration of parameters.  As a result, all options are calculated automatically and the option with the maximum NPV is selected.  The cost indicators of surface facilities are calculated on the basis of comparable cost estimation using the Lenz formula.  Implemented automatic filling of calculation results in the economic model of the Company.For the operation of the module a geological, capital cost and technological database of analogue objects has been formed based on data of implemented development projects of gas and gas condensate fields. The article presents the results of an express assessment of a licensed area with gas deposits in the «Feasibility study system» module. The comparison with the results of the previously approved investment memorandum is given.The calculation module «Feasibility study system», implemented in the «RN-KIN» software package, makes it possible to improve the quality of decisions about involving into development of fields, to develop the most optimal strategies of the development of acquired and commissioned deposits.  Automation of the calculation process can significantly reduce labor costs for the feasibility evaluation.