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SLB Energy United Arab Emirates Company newsroom

Dragon Oil

Dragon Oil needed to enhance planning and operational performance in a mature offshore field.

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Reported impact

Business outcome

Dragon Oil used AI to enhance planning and performance in a mature offshore field.

  • Productivity Improvement

Solution

The source identifies a customer case study in which Dragon Oil used AI with SLB to improve planning and performance in a mature offshore field. Based on the provided page text, the implementation is confirmed only at a high level: AI was applied to support planning and field-performance improvement in an offshore production context. The available excerpt does not expose the underlying data sources, model types, named software products, storage architecture, orchestration layer, or delivery interfaces. As a result, the solution can be described conservatively as an AI-enabled operational decision-support workflow for offshore field planning and performance management, with SLB as the technology provider and Dragon Oil as the operator using the system in a mature field environment.

Solution architecture

0 products mentioned

Evidence from the source

"Dragon Oil using AI to enhance planning and performance in a mature offshore field"
"Published Time: 2024-01-31T15:45:00+00:00"
Transparency Evidence & methodology 29/100 reference value · 81% confidence · 3 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value29/100
  • Problem clarity12/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth0/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity12/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence81%
  • Source authority25/25
    The deployment is described by the adopting organization or a government source.
  • Claim traceability25/25
    12 of 12 key fields link to a named source.
  • Direct evidence10/20
    2 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    3 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity2/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Dragon Oil

    Dragon Oil customer story

    First-party
    https://www.slb.com/resource-library/case-study-with-navigation/di/dragon-oil-using-ai-to-enhance-planning-and-performance-in-a-mature-offshore-field
    Source type
    Customer-published story
    Published
    Jan 31, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. Dragon Oil

    Who We Are

    First-party
    https://www.dragonoil.com/

    The official site says: 'Its headquarters is located in Dubai, UAE.'

    Source type
    Official company website
    Supports
    • Region
  3. LinkedIn

    Dragon Oil | LinkedIn

    Independent secondary
    https://in.linkedin.com/company/dragonoil

    The Organization JSON-LD lists addressLocality 'Dubai', and addressCountry 'AE', and numberOfEmployees value 1285.

    Source type
    Structured company profile
    Supports
    • Company size
    • Region

Date evidence

Not separately sourced Industry. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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