ENERGY DATA MANAGEMENT

Your subsurface data, in full view.

Energy data management from seismic survey to reservoir simulation: Diskover indexes seismic, well, and simulation files across HPC, NAS, object, cloud, and tape, so geoscientists find the right survey, and IT reclaims the capacity holding the rest.

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9 PB

inventoried for a $60B oil and gas merger

Diskover energy customer

30%+

of HPC capacity reclaimed by an oil and gas company

Diskover energy customer

$1.5M

in storage savings at a global energy company

Diskover energy customer

THE PROBLEM

Your interpreters see the tip.
Storage holds the rest.

Every processing pass makes a new copy of the survey. In one Diskover customer index, derived seismic volumes reached twice the size of the raw surveys.

Diagram of energy storage: current interpretation projects above the surface, raw and derived seismic, simulation runs, and expired lease data below.

HOW IT WORKS

From scattered files to clear action.

01

CONNECT

Point Diskover at HPC file systems, NAS, object, cloud, and tape libraries. Indexing runs in place, so seismic volumes and simulation output stay where compute expects them.

Global visibility

02

CATALOG

Every file becomes a searchable record with rich metadata, such as name, path, owner, and dates, enriched with project and well names from the path, run cycle, and classification tags.

Metadata catalog

03

ORGANIZE

Tag by survey, well, block, lease, and status. Build saved searches for failed runs still on scratch, derivatives past retention, or files tied to a dissolved partnership.

Data intelligence

04

ACTIVATE

Run tiering, purge, and packaging by policy with a full audit trail, and deliver curated seismic and well metadata to analytics and AI pipelines through the API.

Orchestration

BUILT FOR ENERGY

Diskover speaks energy.

Explore the plugin suite

Knows your file types.

SEG-Y, SEG-D, ZGY, LAS, P1/90, and simulation formats, recognized by extension and path.

Reads your folder logic.

Projects, leases, and regions, recognized from paths and names.

Adds business context.

Plugins add owner, department, and cost from your directory and business systems.

Cleans up after your apps.

Finds temp, scratch, and log files left by interpretation and simulation tools.

WHO FEELS IT

Three teams. Three different pains.

EXPLORATION • GEOSCIENCE

“Which version of this survey is current?”

  • Names and folders differ from team to team.
  • Each processing pass makes a new copy.
  • No single view across regions.

With Diskover: see every copy of a survey, on every system, with its age and owner.

IT • HPC

“Why is scratch full again?”

  • Old projects sit on costly HPC storage.
  • Failed jobs and caches stay behind.
  • Nobody can approve the cleanup.

With Diskover: find failed runs and old projects on HPC storage, and clear them by policy.

LAND • LEGAL • COMPLIANCE

“What must go when this lease expires?”

  • Lease expiry requires data removal, on time.
  • Joint venture exits need a full inventory.
  • Acquisitions bring unknown data.

With Diskover: tag the lease once, then remove every file tied to it on time, with an audit trail.

WHY IT MATTERS

Keep the surveys that matter. Stop paying for the rest.

Even hard drives cost more now: VDURA reports that the price of a 30TB drive rose about 145% in one year. Every extra copy of a survey adds to the bill. With context on every file, teams put a cost on storage, keep HPC storage for active work, and meet lease and deal deadlines.

Explore data intelligence

Free up HPC storage.

Old projects, failed runs, and derived copies move or go by policy, so compute storage holds active work.
Data tiering

Cost every asset.

See storage cost by survey, block, lease, or region, so each asset carries its own data cost.
Chargeback

Close deals with confidence.

Get a full inventory of what an acquisition brings, or what a joint venture exit takes with it.
One catalog

Meet lease deadlines.

Find every file tied to an expiring lease and remove it on time, with an audit trail.
Defensible deletion

AI READINESS

Prepare subsurface data for AI before it reaches a model.

Explore AI-ready data

01

TAG

Rules tag final interpretations and reference surveys. Breadcrumb adds the owner and cost center from each project folder.

02

CURATE

Select seismic, well, and survey data by any metadata, such as field, project, or date. Path tokens turn folder names into search fields.

03

GOVERN

Tag partner and licensed data with sharing limits, so rules leave it out of the training set. Every dataset keeps an audit trail.

04

DELIVER

Send curated file lists to your AI and analytics platforms as Parquet, or copy the data to where the model runs, by policy.

REAL-WORLD USE CASE

A $60B merger. 9 PB fully inventoried.

An oil and gas company turned acquisition data from a liability into an asset.

$60B

merger

9 PB

indexed

BILLIONS

of files

3

locations

THE CHALLENGE

  • Merger data spread across many file systems.
  • No full inventory of what each side owned.
  • Data had to be ready for integration, fast.

HOW THEY USE DISKOVER

  • One index across every file system and location.
  • Project inventories built from tags.
  • Data prepared for the merger and the integration.

Full inventory

every file, with its owner and location

$1.5M

in storage savings at a second customer, a global energy company

30%

of active storage surfaced as reclaimable, at the same company

See how teams like yours did it

FAQ

Common questions.

Scattered data points flowing into a single stream that becomes organized data paths across a world map.

See it on your own subsurface data.

We will index a sample of your storage and show you what is recoverable against your current storage spend.

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