QuantyPetrol

Overview

QuantyPetrol is built on a theme-based oilfield database system and uses corner-point grid models for 3D geological modelling. Multi-scale models describe key areas in fine detail, large numbers of petrophysical parameters are embedded in the structural–stratigraphic framework, and simulation methods and parameters are organized and managed dynamically. Combining dynamic and non-dynamic simulation, it reconstructs the 3D material space of hydrocarbon generation, expulsion, migration, accumulation and dispersion; combining artificial-intelligence migration–accumulation simulation with conventional dynamic numerical simulation, it captures the local non-linear processes of migration and accumulation; and combining classical dynamic simulation with system dynamics simulation, it captures the feedback control between subsystems and the non-linearity of the whole. By simulating basin structural, sedimentary, geothermal, maturation, hydrocarbon generation, expulsion and migration–accumulation histories in 3D, it provides a quantitative basis, in a real four-dimensional space–time setting, for predicting hydrocarbon accumulation and for dynamic analysis and assessment of accumulation units. Its defining feature is system simulation across multiple work areas and projects. Development was funded by national major science and technology projects, key projects of the National Natural Science Foundation of China, and Sinopec and CNOOC. The results were included in the new round of national resource assessment and in demonstration projects of national major projects, and have been applied with good results in more than ten oilfields, including the South China Sea, Shengli and Tahe oilfields.

Functions

Compared with similar software in China and abroad, QuantyPetrol has six distinctive features:

1. Stores and manages massive spatial and attribute data;
2. Reconstructs the 3D material space of hydrocarbon generation, expulsion, migration, accumulation and dispersion;
3. Introduces system dynamics simulation to capture the feedback control between subsystems and the non-linearity of the whole;
4. Combines artificial-intelligence migration–accumulation simulation with conventional dynamic numerical simulation to capture local non-linear migration and accumulation;
5. Performs 3D dynamic analysis and assessment of accumulation units on the basis of migration–accumulation simulation;
6. Organizes and manages simulation methods and parameters dynamically for system simulation across multiple work areas and projects.