BAKU, Azerbaijan, June 1. Artificial
intelligence helps fill gaps in seismic data, a consultant on the
application of artificial intelligence at Kunlun Digital Technology
CO, Fan Rong said, Trend reports.


He made the remark during a panel discussion held within the
framework of the 31st International Caspian Oil and Gas Exhibition
in Baku today, Trend reports.


According to him, the main feature of modern AI-based systems is
that they are built on an “AI-oriented” approach, that is, an
approach focused on artificial intelligence.


Fan Rong added that artificial intelligence opens up new
opportunities in the oil and gas industry in terms of
decision-making, data analysis, and operational automation.


“In such systems, the architecture and processes are designed
from the outset with the capabilities of artificial intelligence in
mind. This approach allows the systems to make autonomous
decisions, perform self-management functions, and operate on a
closed-loop principle. At the same time, these solutions can be
integrated into existing systems as additional tools,” he said.


Furthermore, Fan Jun noted that Kunlun Digital, a subsidiary of
CNPC, is one of the key players in the digital transformation of
the oil and gas industry and plays an important role in
implementing the “Digital Oil China” concept.







According to him, the company’s AI strategy is based on three
key areas: close integration with business processes, the combined
use of large and small language models, and the creation of
intelligent agents.


“The most important issue is tailoring AI-based solutions
directly to the needs of the oil and gas industry. Intelligent
agents, created through the collaboration of large and small
models, enable more effective management of operations,” he
emphasized.


In addition, Fan Rong cited a seismic data reconstruction
project as an example.


“Seismic data can be viewed as a CT scan of the Earth. For
various reasons, gaps appear in historical databases. The AI-based
solution we developed allows us to reconstruct this missing data.
For example, AI was used to reconstruct a 5-kilometer gap in the
data, and the results demonstrated a high degree of correspondence
with real data,” he added.