IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i7p1804-d157183.html
   My bibliography  Save this article

A Coupled Fluid Flow—Geomechanical Approach for Subsidence Numerical Simulation

Author

Listed:
  • Grazia Giani

    (DIATI, Faculty of Engineering, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Torino, Italy)

  • Serena Orsatti

    (Edison S.p.A., Research, Development and Innovation, Via Giorgio La Pira 2, I-10028 Trofarello, Italy)

  • Costanzo Peter

    (DIATI, Faculty of Engineering, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Torino, Italy)

  • Vera Rocca

    (DIATI, Faculty of Engineering, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Torino, Italy)

Abstract

This paper investigates the effect on compaction and subsidence induced by gas production using two techniques for coupling fluid-flow and geomechanics. To this end, a synthetic case representing a typical, shallow, weakly compacted, multi-layered, off-shore gas reservoir in the Adriatic Sea was set up and its dynamic and mechanic behavior during gas production was analyzed. Three numerical models (i.e., geological; fluid-flow and geomechanical) were built using high quality data set from an existing gas-bearing formation (off-shore Croatia). The laboratory analyses for deformation and strength parameters determination were conducted together with tests to define the coupling law required by the adopted coupling technique. Experimental data showed strong permeability stress-dependent behavior of core samples retrieved from gas bearing layers. Nevertheless, the results showed that the system stress-strain evolution always remains in the elastic domain and the deformation magnitude is extremely narrow (10 −4 m/m) due to the limited net effective stress variation induced by the stressed production scenarios. The difference between the coupling techniques is negligible in terms of subsidence evolution at ground level but not in terms of compaction at reservoir level. Furthermore, the two-way coupled technique could be used for better development planning by integrating reservoir, drilling and completion management.

Suggested Citation

  • Grazia Giani & Serena Orsatti & Costanzo Peter & Vera Rocca, 2018. "A Coupled Fluid Flow—Geomechanical Approach for Subsidence Numerical Simulation," Energies, MDPI, vol. 11(7), pages 1-17, July.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1804-:d:157183
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/7/1804/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/7/1804/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1804-:d:157183. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.