The Data Integration Approach for Prospecting Missed Intervals. An Example Based on Gazprom Neft Assets

Besides the attempts to find solutions how to obtain “good” new data, there are many attempts to find solutions how to re-interpret old data. In Gazprom Neft, there are many activities on creating new log data interpretation methods, on implementation of the neural network and machine learning methods. It is crucial for fields with thousands of wells. Yet these modern methods have their own limitations related to data variability and specifics. Thus, there are many cases when we need to focus on integration of all old and sometimes “bad” data for solving the relevant production tasks especially when the well number is not too big.