Smart well zonal allocation

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Smart well zonal allocation
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The Problem

• To run smart wells at its optimum level it must
  be possible to determine the zonal reservoir
  pressure at any time and compare those with the
  theoretical expected pressure calculated from
  your well and network models. A comparison of
  the theoretical value with the actual calculated
  value is a key performance indicator if the
  well/reservoir behaved as expected. If not the
  system needs to be recalibrated.

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The Team

• IP21 by Aspentech is the data historian
• EnergyComponents by TietoEnator is the
  production database
• Prosper by Petroleum Experts is a Well modelling
  application
• DECIDE! By Schlumberger is the orchestrator of
  automated workflows and data consolidation
• Avocet Production Surveillance by Schlumberger is
  the visualization tool
• Avocet - Integrated Asset Modeller (IAM) by
  Schlumberger is the optimizer and forecaster

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The Workflow

• The integrated asset model will consume
  historical production and injection data to
  calculate production and injections targets
  (forecast).
• Those targets will be used to in the consolidator
  to compare the targets to the actually achieved
  values
• The measured temperature and pressure at each
  zone (downhole sensor data available via data
  historian) will be used to calculate zonal and
  total rates and to calculate the reservoir
  pressure per zone
• The reservoir pressure and rates can be used in
  an advanced process controller to calculate the
  optimum choke setting on how to operate the well
  within the targets and the constraints.

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The interactions
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13
PETEX Prosper/GAP
APS
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7a
7b
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Decide!
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1
14b
IAM
12a
12b
14a
3b
3a
2b
6b
2a
6a
5b
11b
Advanced Process Control
5a
11a
11
TE EnergyComponents
Aspentech IP21
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Setup the IAM model
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Set PI Targets
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Create new PRODML connection
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Point to TietoEnators web service
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Define the well(s) to query for
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Define the parameter(s) to query for
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View resulting query and response
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View data that is to be acquired
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and acquire it to DECIDE!
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Create new PRODML connection
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Point to Aspentech web service
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Select the well(s) to query for
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Define the parameter(s) to query for
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View query template and results
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View query template and results
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Optionally data cleansing rules to the data
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View resulting data that will be acquired
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Finish initial data acquisition
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This connection can than be automated
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in a DECIDE! workflow
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Advanced Process Control
New IAM data (5 Increase)
Sample
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185
190
195
200
290
295
300
305
New velocity limit
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The web viewer can visualize the acquired data
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and the calculated pressures
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Calculated KPI for monitoring the performance
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Rerun optimization if performance declines