Service 07

Services/Operations data and decision systems

Operations data and decision systems

We turn daily exports, controlled drawings, test reports and correspondence into one record for operations, engineering and management: the current state with its sources, an event log, a profile for each well and a data health report, refreshed on a cadence the field can keep up.

IThe question

What is the well doing now, where is it routed, how sure are we, and what changed since last week?

On a large field the answer to a simple question sits in six spreadsheets with three different dates. A status export says flowing. A routing list says shut in. A planning file says the well moved last month. If the newest file wins every argument, you get the wrong answer. If each fact is taken from the most authoritative source for that fact, with its date, you get the right answer and you can see the conflicts that remain.

We build five layers: current (the latest accepted value per field with its date), context (linked tests, work orders, integrity records and limits), history (dated observations and milestones), changes (what moved since the last refresh, including source conflicts) and sources (file, revision, owner, date, authority and confidence). A well profile reads in four views: now, context, history, changes, with the key risks at the end.

The system can be a SQLite and JSON package behind a browser view, a Power BI model, or a hosted database with an API. The software matters less than the rules: keep history, never erase an unrelated domain on refresh, show how fresh each domain is, and never swap a test value for an allocated rate without saying so.

IIWhat we do
  • i

    Data model and precedence rules

    Canonical entities (well, facility, train, manifold, flowline, project, work order, source), aliases and de-duplication, field-level authority and effective-date rules, confidence and conflict flags.

  • ii

    Well profiles and console

    Identity and status, a short summary, routing against home facility, flowline integrity and replacement, operations and interventions, timeline and changes, ranked risks.

  • iii

    Registers and management outputs

    Deferral registers, planned against current well rates, facility capacity opportunities on a decline basis, scenario tables and handover schedules.

  • iv

    Process knowledge graph

    Facility flow diagrams and P&IDs stitched into one graph. Designed, as-built, temporary, planned, isolated and flowing connections kept distinct, each with its drawing, revision and confidence.

  • v

    Refresh and data health

    Ingestion by file hash and date. Checks on units, duplicates, mass balance and freshness. Snapshots that are never overwritten. Change events and a data health report with the open conflicts.

IIIWhat you receive

Deliverables

  • Data model, precedence rules and source register
  • Well profile and console (browser, Power BI or both)
  • Deferral, capacity and forecast registers
  • Process graph and stitched facility schematic
  • Refresh procedure and data health report

Built from your own exports and drawings. We prefer a weekend refresh for most domains, with well status refreshed more often. The data-as-of date is shown separately from the refresh date.

AssosTech · Energy · Engineering

Start with the question


A technical question, a train that will not stabilise, a water balance that will not close, a data room that will not reconcile. Describe it in a paragraph and we will propose the scope.

hello@assostechltd.com · 5 South Charlotte Street, Edinburgh, EH2 4AN