The manner in which oil and gas data is procured shapes our thinking and perception about the data and how we use it. Oil and gas data is generated by fragmented services and then siloed across the well's lifecycle.
We know that effective data analysis and asset management needs context from across the well's lifecycle. But even successful efforts to integrate this data often produce data structures that mimic these silos. As a result, these efforts deliver data to team members in the same verticals they were gathered in. Couple this with stacked pay and multiple asset teams and you get a multidimensional data problem to unpack.
We need to look at in a different way, the way it was meant to be viewed. Petro.ai gives you a holistic look at your area of interest by reconstructing the reservoir.