Cut the Cost of Being Wrong Early
Exploration success in oil and gas is still structurally uncertain.
In 1H 2025, global explorers drilled 37 high-impact wildcat wells. The success rate was 27% — basically in line with the recent five-year average. That tells you something. Even now, with better tools, better data, and more discipline, the hit rate has not changed much.
And a discovery is not the same thing as a commercial asset.
Wood Mackenzie’s 2025 review puts total discovered volumes at around 11 billion boe, but only about 6.3 billion boe is currently classified as commercial or economically viable. So the gap is real. You can find hydrocarbons, yet still not have a project.
Can this discovery actually be developed under uncertainty without burning years and serious money to get to that answer?
This is where early evaluation matters.
QuickField.ai helps fill the gap between geological promise and commercial decision. It helps turn limited early petrophysical and development inputs into fast P10, P50, P90 production scenarios, recovery estimates, and sensitivities. Not magic. Just a clever combination of Machine Learning and Engineering equations to pressure-test whether a prospect deserves to move forward.
Because weak projects usually don’t fail in the end. The signs were there early; they just weren’t seen clearly enough, or soon enough. Now you can.
Cut the costs of being wrong early.
