Surface Helium survey can be carried out at various stages of field development and be successfully applied in order to map drained/undrained areas of hydrocarbon-saturated reservoirs and  to locate residual oil reserves, which have not yet been involved in field development.

4[1].png

Correctly interpreted Helium data over a mature field shows:

- positive Helium anomalies as projections of undrained parts of the reservoir with active residual hydrocarbon reserves, sweet-spots and bypassed zones;

- negative Helium anomalies as the drained parts of the reservoir, low-pressure zones (including pressure cones) or flushed zones. 

METER PROBLEM IN OIL FIELDS

Heologic successfully uses  He-Technology for the maintenance and growth of oil extraction at matured oil fields with significant production history. Besides allocation of residual oil we solve a significant problem at oil fields commonly known as a “meter problem”.

 

The “meter problem” occurs as an inaccuracy in measurements and can range from

15-20% in daily oil production rates from the well. It means that liquid/oil production volumes, water cut, pressure and liquid levels records would not meet the actual production values.

 

The “meter problem” usually  has to be fixed later on by changing manually the oil production volumes for every and each well and taking into account crude oil cumulative volumes actually processed/sold from the field. As a matter of fact, this option brings additional inaccuracy in recording day-to-day well production parameters - 40-50% difference between actual oil production rates and the ones on the paper.

 

These unreliable production figures are uploaded straight into traditionally used software tools where reservoir properties and inter-well channelling would be corrected manually at this stage. As a result, overall oil field model adopted manually will end up with 400-500% inaccuracy

SOLUTION:

HELIUM + ARTIFICIAL INTELLIGENCE

METER PROBLEM

Helium9.png

well production history

Helium10.png

Helium survey

Helium11.png

improved geological model

Helium12.png

better performance

Helium13.png
Helium13.png
Helium13.png

As the base of our Helium technology over development field, we use a powerful and exact in accuracy software to model oil reservoirs and flow processes and to combine into one - Helium data, physical models and algorithms of Machine Learning.

 

After running Helium survey, we refine field data (up to 70% well historical events) with Machine Learning algorithms. Only refined data will be entered into the physical model for automatic adaptation. It means that after adaptation of few thousands of different models our software finds the best model suitable for this certain field with minimum possibility of error.

 

The physical model will be tuned by the Machine Learning in boundary conditions and presumptions. That makes our calculations clear, quick and targeted.

 

We can ensure our clients that the measure of accuracy in our final oil field model will be with a margin of error of 20-30% where other known existing models do not use Helium data and have error of 100-200%.

 

As soon as the field model with an actual knowledge of oil accumulation and distribution values and parameters is ready, we generate the list of recommended procedures for every and each well. From there on, you can be exact in your decision making in regards of water or polymer flooding, side or new drilling, EOR operations, hydrofracturing etc. 

 

With our method we guarantee that your oil production grows 40-70% (in relation to base values) without drilling any additional well and 100% and much more with drilling. 

 

Our strong experience in geo-technological services will help you to increase the capitalization of your company without any large investments, see your field alternately, re-evaluate procedures at the wells, reduce up to 30-40% of operational cost and extend life-time of your field.