Enterprise Intelligence

Q: Why do 200 IT projects ≠ Oil & Energy Enterprise Architecture? Myth:   Energy EA = Asset Systems + SCADA + Operations IT. Reality:   Energy enterprises run on 15 departments (D1–D15) —Exploration, Production, Refining, Logistics, Trading, HSE, Field Workforce—each expressing P1–P6  differently. IT is just one department. EA(IT) ≠ Enterprise Anatomy Q: Why is project count high? Because every function runs mission-critical operations with independent rules and timelines. F

Oil & energy IT does not struggle because teams lack capability —it struggles because the enterprise runs without anatomy. The real cost isn’t technology. The real cost is missing anatomy.

Customers could view real-time outage areas, estimated restoration times improved, and call center volumes dropped — yet the enterprise structure linking fault detection, crew dispatch, asset management, customer communications, and regulatory reporting was never modeled.

Operations centers could see DER output instantly, adjust grid controls faster, and generate compliance reports — yet the enterprise structure linking market participation, maintenance planning, demand response, customer engagement, and regulatory coordination was never modeled.

In Oil & Gas, a recurring pattern is treating digital twin projects as architecture work. Asset twins for rigs, pipelines, and refineries were piloted with promising simulation results — yet the enterprise structure linking engineering, maintenance, safety, and production remained unmodeled.

Trade capture, pricing, and risk systems were connected for faster data flow; latency was reduced, and reporting improved — yet the enterprise structure linking trading strategy, compliance, settlements, and operations was never modeled.

The Missing 70% What they built: a robust, well-structured architecture for field IT operations and supporting systems What they missed: the anatomical link between decisions, functions, investments, and execution across the full enterprise

By treating upstream, midstream, and downstream as separate units, companies struggle with inconsistent decision-making & inefficiencies