Optimization

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Optimization 2016-10-19T10:00:14+00:00

Pipe-It can optimize a fully integrated system, with decision variables and constraints distributed along the whole value chain.

Any input or output parameter for all models in a project can be used as optimization variables/constraints/objectives.
A selection of robust and versatile optimization solvers are shipped with Pipe-It and external solver can be used through a plugin interface.

Pipe-It has easy-to-use control panel for controlling optimization and running sensitivity cases.

Production Optimization

Pipe-It Production Optimization enables optimization of individual well rates/choke openings to maximize either oil production or net present value, while honoring any constraints along the production system.

  • Several reservoir/well descriptions in parallel to suit different optimization needs.
    • Robust full-physics models, accurate but time consuming.
    • Simplified proxy models, fast but less accurate.
  • Honor any constraints in the production system.
    • Separator capacities.
    • CO2 and H2S constraints.
    • Gas contracts.
    • Process plant limitations.
    • Sales product specifications.

SPE 128742 – URUCU FIELD INTEGRATED PRODUCTION MODEL

History Matching

Pipe-It History Matching allows you to minimize the difference between data and calculation while running the reservoir model and the well test conversion programs in sync.

Pipe-It can be used as a history matching and optimization tool for any commercial or in-house reservoir simulator. Some examples:

  • ECL 100 and ECL 300 (Schlumberger)
  • GEM, IMEX, and STARS (CMG)
  • tNavigator (RockFlowDynamics)
  • SENSOR (Coats Engineering)
  • Psim (ConocoPhillips)
  • GigaPowers (Saudi Aramco)

Flexible definition of history matching objectives:

  • Match observed production rates, pressures, GOR, water cut, cumulative production, etc.
  • Use any input model parameter as a history matching variable.
  • Fully customizable.
  • Any weighting scheme on observed data.

This solution integrates the reservoir models and does the necessary well test rate conversions.

SPE 166380 – OPTIMIZED WELL MODELING OF LIQUID-RICH SHALE RESERVOIRS

Shale Well Modeling

Pipe-It Shale Solution offers a comprehensive solution for modeling horizontal multi-fracked shale wells, based on numerical finite-difference well models.

These models can then be used for:

  • Accurate history matching and forecasting.
  • Liquid yield optimization.
  • Well design optimization.
  • Well spacing optimization.

For more details, see Pipe-It Shale Solutions

Private: Surface Capacity Forecasting & Optimization

Pipe-It Surface Capacity Forecasting & Optimization enables forecasting of topside capacities and can adjust production profiles to maximize capacity utilization in the future.

Product Blending Optimization

Pipe-It Product Blending Optimization maximizes production from multi-field assets while honoring any quality specifications on the final sales products.

It is often challenging to determine the best way to optimize production from comingled fields while maintaining product quality within specifications (e.g. API gravity). Isolated analysis limited to individual reservoirs may yield an inaccurate picture of the whole production system and can lead to sub-optimal production strategies.

Pipe-It Product Blending Optimization optimizes the production plan for reservoirs producing into shared process facilities to extend the production plateau and increase cumulative production, while keeping final products within quality specifications.

Product Blending Optimizaion Flyer

IPA03-E-068 – IMPLEMENTATION OF STREAM MANAGEMENT AT SOUTH NATUNA SEA BLOCK B, INDONESIA

Surface Process Optimization

Pipe-It Surface Process Optimization makes it possible to optimize surface process plant conditions to maximize net present value while honoring any process constraints or sales product requirements.

The solution connects your process simulator model with any feed streams from any sources and automatically converts the feed stream fluid descriptions to the description required by the process simulator. All time steps in the feed streams are processed in a loop, and any parameter in the process model can be used as an optimization variable.

Pipe-It integrates seamlessly with all major commercial process simulators.

SPE 130768 – MULTI-FIELD ASSET INTEGRATED OPTIMIZATION BENCHMARK

IPTC-17727-MS – MIX-N-MATCH RESERVOIR COUPLING IN INTEGRATED MODELING AND OPTIMIZATION

IPTC-18033-MS – NUMERICAL INVESTIGATION AND INTEGRATED OPTIMIZATION OF SOLVENT-SAGD PROCESS

Single Application Optimization

Pipe-It Single Optimization can be used as an optimization engine on top of your current workflow allowing any third-party or in-house application to be launched from Pipe-It.

Pipe-It can then run your application multiple times, changing the input parameters you select to optimize key application results.

A range of robust and efficient optimization solvers come shipped with Pipe-It. It is also possible to use third-party solvers through a plugin interface.

IPTC-18033-MS – NUMERICAL INVESTIGATION AND INTEGRATED OPTIMIZATION OF SOLVENT-SAGD PROCESS

SPE-172725-MS – CO2 INJECTION PROJECT ANALYSIS USING APPLICATION OF INTEGRATED MODEL AND OPTIMIZATION

Diluent Injection Optimization

Pipe-It Diluent Injection Optimization provides a customized solution for diluent injection optimization. Using Pipe-It, any model/software that represents each of the nodes in the production value chain – from well to market – can be integrated.

A consistent stream conversion technology allows Pipe-It to handle different fluid models, making it possible to quantify the effects of diluent injection on the entire production system and value chain.

Heavy oil represents a large portion of the world hydrocarbon resources, but high density and viscosity makes it difficult and costly to produce. Diluent injection is a viable alternative not only to help lift fluids to surface and reduce pressure drops in transport pipe lines, but also to increase the quality of export oil to become a marketable product.

This integrated solution for diluent injection optimization reduces cost by minimizing the amount of diluent needed to be imported, and maximizes production by optimally distributing diluent among wells.