Artificial Lift dBase

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Artificial Lift dBase
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Content

• What is ALD.
• Benefits of ALD Application.
• ALD Concept.
• Major Process Covered in ALD.
• Features.
• Outputs Reports.
• Concerns.
• ALD Managed Challenges.
• Way Forward Vision.

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What is ALD

• Artificial Lift Database (ALD) is a web based
  application using an Oracle database. It is built
  in-house in 2004.
• It meets PDOs business requirement to support
  ESP contracts by capturing financial and
  technical functionalities and reports such as
  Run-Life, failure trends, pump trips, KPIs,
  Installation, Commission, FSR, Pull reports,
  lease calculation etc.

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Benefits of ALD Application

• Accurate Data.
• Easy accessibility.
• Standard and regular reporting.
• Quick decision making.
• Cost visibility and improve on contract
  management.
• Insuring regular flow of documents.
• Efficient cost management.

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ALD Concept
ESP/ESPCP
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Major Process Covered in ALD
Automatic Calculations
IPC Generation Payments
Miscellaneous Cost
Penalties
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Features

• Integration between financial and technical.
• Integration of documents through well life cycle.
• Automatic calculation for key figures such as
  Run-Life.
• Ability to attach, and link documents.
• Having 26 reports and KPIs

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Outputs Reports

• Run-Life.
• Population.
• KPIs.
• Failure Analysis.
• Financial.
• Equipment Tracking.
• Well History Technical.

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Run-Life
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Run-Life
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Population
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KPI
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Failure Analysis
Test
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Failure Analysis
Test
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Financial - Quotation Details
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Financial - Contractual Transaction
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Equipment Tracking
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Technical - Installation Report
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Technical - Field Service Report
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ALD Managed Challenges

• Collecting the key contractual information while
  updating Quotations.
• Introducing link between Quotation and Run-life.
• Approvals on key reports such as installation,
  commissionetc
• Collecting relevant Trips information from a
  cooperate dbase and calculating contractual
  conditions Automatically such as Buy-out, actual
  running time etc.
• Quotation approval process will be available
  On-line.
• Assigning Responsibility while capturing failure
  analysis.
• Built in validation to insure correct data flow
  and quality.

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Concerns

• Communication between client and the server due
  to Web set-up.
• To get ESP vendors more involved in using ALD.

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Way Forward Vision

• To be able to design ESP in ALD.
• To be able to do ESP Diagnosis with in ALD.
• Further expansion on reports, and KPIs