Application of big data analytics to hydrocarbon exploration for favorable basin selection in Central Asia

Application of big data analytics to hydrocarbon exploration for favorable basin selection in Central Asia

Benchmarking

Big data

Data Analytics

Data fusion

Data integration

Data mining

Data visualization

Decision making

Gasoline

Geological surveys

Hydrocarbons

Knowledge based systems

Petroleum analysis

Petroleum prospecting

Seismology

With the advent of the digital era, oil companies have invested more in obtaining and integrating basic data, and constantly improved the utilization of big data analytics, as an emerging trend, in oil and gas industries, with a view to discovering "big oil and gas". With the use of big data, companies can capture large data in real time

in contrast, traditional statistical analysis is characterized by poor timeliness in capturing large volumes of data, as well as a lack of efficient methods for analysis and critical evaluation parameters, seriously restricting the in-depth application of the big data analytics in hydrocarbon exploration. Central Asian is a region rich in natural resources, including oil and gas, and also a key area and ideal choice for China's oil companies to implement the Belt and Road Energy Cooperation Strategy. However, it is difficult to carry out effective petroleum geological analysis at the stage of study area selection, given the large scope of researches in short time, and the lack of data in seismic interpretation and from wells, and a macro-understanding to guide decision-making cannot be reached as a result. In this regard, we firstly carry out big data analysis following deep mining into and secondary development of purchased databases, integrating massive multi-sourced heterogeneous data, creating a knowledge base for strategic area selection in Central Asia, serving to lay a data foundation for big data analysis in petroleum exploration. Secondly, methods of data mining and big data analytics are innovated for hydrocarbon exploration, and a comprehensive key parameter indicator (KPI) scoring model based on a Trinity of petroleum geological conditions, exploration maturity and commercial value, is established to select multiple petroliferous basins of great exploration potentials and effectively guide the strategic area selection in Central Asia. The study provides new ideas and solutions, and expounds the necessity and feasibility of big data analytics for petroleum exploration from the oil companies' point of view. In all, it is of great significance to application and promotion. 2021, OIL & GAS GEOLOGY Editorial Board. All right reserved.

1464-1474

6

42

Zhang, Ke

Zhang, Yina

Oil and Gas Geology

2021

journalArticle

2539985

10.11743/ogg20210620

http://dx.doi.org/10.11743/ogg20210620