Geoscience Evolution: Extensive Data Integration for Real Time Geosteering and Modeling in Unconventional Reservoirs

Payrazyan, V.; Kuvaev, Igor; Uvarov, I.A.; Aguilar, Raul Bonifacio; Gutierrez, Guillermo

doi:10.3997/2214-4609.201702633

Cited by 1 publication

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“…In Arata et al (2017) a case study shows how a real-time local recalibration of seismic to minimize the depth discrepancy, based on LWD measurements, supports improved prediction of the reservoir boundaries ahead of the bit. Finally, in (Payrazyan et al, 2017) it is explained how the geological structures (faults and stratigraphic interfaces) in a 2D section along the well can be adjusted in real-time to fit the measurements, as basis for real-time sketching of a desired trajectory in the graphical interface.…”

Section: Introductionmentioning

confidence: 99%

A decision support system for multi-target geosteering

Alyaev

Suter

Bratvold

et al. 2019

Journal of Petroleum Science and Engineering

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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 (predrill) 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 reweight the objectives, making the DSS useful before fully-automated geosteering becomes reality.

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Section: Introductionmentioning

confidence: 99%