Cristin-resultat-ID: 1727772
Sist endret: 4. februar 2020 14:15
NVI-rapporteringsår: 2019
Resultat
Vitenskapelig artikkel
2019

A decision support system for multi-target geosteering

Bidragsytere:
  • Sergey Alyaev
  • Erich Christian Suter
  • Reidar B Bratvold
  • Aojie Hong
  • Xiaodong Luo og
  • Kristian Fossum

Tidsskrift

Journal of Petroleum Science and Engineering
ISSN 0920-4105
e-ISSN 1873-4715
NVI-nivå 2

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2019
Publisert online: 2019
Trykket: 2019
Volum: 183
Sider: 1 - 14
Artikkelnummer: 106381
Open Access

Importkilder

Scopus-ID: 2-s2.0-85071951311

Klassifisering

Vitenskapsdisipliner

Petroleumsteknologi

Emneord

Bayesiansk inversjon • Dynamisk modellering • Geostatistikk • Beslutningsstøtte verktøy • Bore og brønnteknologi • Optimering

Beskrivelse Beskrivelse

Tittel

A decision support system for multi-target geosteering

Sammendrag

Geosteering is a sequential decision process under uncertainty. The goal of geosteering is to maximize the expected value of the well, which should be defined by an objective value-function for each operation. In this paper we present a real-time decision support system (DSS) for geosteering that aims to approximate the uncertainty in the geological interpretation with an ensemble of geomodel realizations. As the drilling operation progresses, the ensemble Kalman filter is used to sequentially update the realizations using the measurements from real-time logging while drilling. At every decision point a discrete dynamic programming algorithm computes all potential well trajectories for the entire drilling operation and the corresponding value of the well for each realization. Then, the DSS considers all immediate alternatives (continue/steer/stop) and chooses the one that gives the best predicted value across the realizations. This approach works for a variety of objectives and constraints and suggests reproducible decisions under uncertainty. Moreover, it has real-time performance. The system is tested on synthetic cases in a layer-cake geological environment where the target layer should be selected dynamically based on the prior (pre-drill) model and the electromagnetic observations received while drilling. The numerical closed-loop simulation experiments demonstrate the ability of the DSS to perform successful geosteering and landing of a well for different geological configurations of drilling targets. Furthermore, the DSS allows to adjust and re-weight the objectives, making the DSS useful before fully-automated geosteering becomes reality.

Bidragsytere

Aktiv cristin-person

Sergey Alyaev

  • Tilknyttet:
    Forfatter
    ved NORCE Energi ved NORCE Norwegian Research Centre AS

Eric Christian Suter

Bidragsyterens navn vises på dette resultatet som Erich Christian Suter
  • Tilknyttet:
    Forfatter
    ved NORCE Energi ved NORCE Norwegian Research Centre AS

Reidar Brumer Bratvold

Bidragsyterens navn vises på dette resultatet som Reidar B Bratvold
  • Tilknyttet:
    Forfatter
    ved Institutt for energiressurser ved Universitetet i Stavanger

Aojie Hong

  • Tilknyttet:
    Forfatter
    ved Institutt for energiressurser ved Universitetet i Stavanger

Xiaodong Luo

  • Tilknyttet:
    Forfatter
    ved NORCE Energi ved NORCE Norwegian Research Centre AS
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