How does the system predict possible accidents?

The system analyzes mud log parameters, identifies historical patterns. Then the model provides a forecast of the probabilities of different accidents.

What determines the accuracy of predicting the likelihood of a particular type of complication?

Accuracy depends on the quality of the data coming in and on the sensitivity settings. The higher the sensitivity, the lower the probability of missing signs of a complication.

How is data quality determined?

Data quality is determined by the amount of incoming data of certain parameters needed to describe a particular operation.

Which mud log parameters are necessary for accident forecast?

Depth hole, depth bit, rate of penetration, weight on bit, block position, hook load, standpipe pressure, mud flow in, mud flow out, rotary torque, rotary speed, temperature in, temperature out, density in, density out, tanks volume, gas content.

Does the system suggest actions to prevent an accident?

The current version of the software informs a user about possible accidents.

Is there an interpretation of the system results?

No, these are the non-interpretable algorithms.

Does the system need to be retrained?

The accident prediction module does not require any retraining.

How can I test the product?

Contact us: sales@petroleum.digital