Structuring 960 Wells of Data to Power a Major Brownfield EOR Programme

Commissioned by a leading international subsurface consultancy, HDS rationalised over 170,000 files and indexed 340,000 individual well log curves across 960 wells — building the data foundation for a major brownfield Enhanced Oil Recovery (EOR) programme at one of the Middle East's most significant oilfields.

The Challenge

A large international consultancy was engaged by a major Middle East national oil company to review the legacy well and production data for a major brownfield asset and evaluate an Enhanced Oil Recovery programme. Before any meaningful analysis could begin, the raw data needed to be rationalised: over 170,000 files existed across servers in London and Aberdeen, with significant duplication and no consistent well-based indexing structure.

The Solution

HDS used GeoSCOPE to ingest the full 170,000+ file dataset from distributed servers, identify and remove duplications, and build a rationalised, accessible working dataset available to specialist teams in London, Aberdeen, Kuwait, Houston and Dubai. Legacy NOC catalogues were entered into the system to enrich well history records.

Critically, HDS decoded all LAS and DLIS files to index and catalogue 340,000 individual curve records from 960 wells — capturing start/stop depth, units, run dates, log type and descriptors for every curve. GeoSCOPE was then configured to manage not only the rationalised input data, but also the new analytical data being created by specialist teams during the evaluation process — providing a single managed environment across the full project lifecycle.

The Outcome

Distributed teams across five cities gained consistent, structured access to a fully indexed well dataset. The curve-level indexing enabled rapid identification of data gaps, informed the selection of key wells for further analysis, and provided the analytical teams with a reliable, searchable foundation for the EOR evaluation.