Data Analytics for Oil & Gas: Well Performance, LOE Diagnosis, and Commercial Analytics

An operator invests in analytics for two years. By year's end, there are dashboards across production, AFE, LOE, HSE, and commercial. At a portfolio review, the COO asks the question that matters: which of these analytics has changed a capital allocation decision. The honest answer is uncomfortable. Production dashboards report volumes. LOE dashboards report costs. AFE dashboards report spend. None of them tell the COO which wells deserve more capital or less, which fields are strategically important, which commercial strategies to pursue. The VP of Production sees LOE trending up and asks his team to investigate; the investigation consumes months because the analytics describe cost drift but don't diagnose the driver mix. The capital team needs analytics integrated with type-curve performance and strip-price scenarios, not standalone production dashboards.

Oil and gas analytics that changes capital decisions connects operational metrics to the specific capital and commercial actions that affect them. Well performance diagnosis vs type curves — which wells are underperforming, which completion parameters correlate with performance, and which intervention candidates have the strongest economic case. LOE diagnosis that decomposes cost drift into activity, price, and efficiency components — so operations knows whether the answer is operational change, supplier renegotiation, or activity pacing. Asset-level economics with strip-price sensitivity for capital prioritization. Commercial analytics for netback optimization across the disposition portfolio. Done this way, analytics becomes the input to the portfolio review. Done as reporting, it stays a review consumed but not acted on.