Case by Usetech: Hydrocarbon retrieval with time vector methods

We are sharing a case study that our team has done for the oil and gas industry. If you are interested in a solution for your business in this area, contact us via the contact form on the website (https://usetech.com/company/contacts/) or via email: contact@usetech.com.

Solution:

The solution is based on liquid and bubble field model: when external production induced or natural fluctuations affect hydrocarbon reservoirs, they switch to their own low-frequency noise generation mode.

The Artificial Intelligence technology makes it possible to distinguish spontaneous hydrocarbon fluctuations in microseismic noise of the ground surface at a depth of up to 7 km.

Result:

As a result, a map of parameter abnormalities corresponding to filed limits surface projections is drawn up. Moreover, this method allows the user to divide abnormalities into gas ones and oil ones.

The project implies migration of measured data to define stacked reservoir accumulation. The result of migration is the 3D-model of hydrocarbon reservoirs to conduct reserves assessment.