I'm not quite sure how they have helped us actually because I know about the platform, but I haven't used it as I did in the past as a production engineer. I am familiar with Halliburton Aries Petroleum Economic Software's decline curve analysis. It is not effective if you cannot do a historical match and adjust the parameters of the decline curve. If it is only a linear regression that you could get from the data, that would be a mistake. If you could adjust the parameters according to the engineering criteria, that would be interesting. But if it's an inferred value for the parameters, that gives you a scenario where you lose control, and you stop trusting the decline curve. Python is important because you could take out outliers from your data and describe properly the function that could describe your trend. It is necessary to have engineering capability to properly forecast. My experience with the pricing of this product limits us regarding the amount of licenses we could get, so it's challenging. The integration with other software helps us; we integrate with the platform through SQL, but it's the only connection we have experienced.
