This paper addresses the integration of spatial data inside geomodelling and geoinformation systems, a pivotal task in the digital transformation of the oil and gas sector. Purpose: a systematic analysis of current approaches to solving this issue, including the use of standard formats, software interfaces, and corporate platforms. Results: a comparative analysis and critical evaluation of specialist tools have revealed principal limitations, such as semantic information loss, reliance on specific software versions, high implementation costs, and inadequate support for bidirectional synchronization and automated conflict resolution. These findings indicate the necessity for a revised integration architecture to mitigate these deficiencies. Practical significance: the findings offer guidance for developing more efficient geospatial-information exchange mechanisms that can enhance the quality of geological interpretation, shorten decision-making cycles, and optimize interdepartmental collaboration within oil and gas industry. Discussion: promising areas of development include adopting open OGC standards, applying machine-learning techniques to automate data conversion, and implementing digital-twin concepts of deposits.
Gilvanov et al. (Wed,) studied this question.