An auxiliary adaptive Gaussian mixture filter applied to flowrate allocation using real data from a multiphase producer

Lorentzen, Rolf Johan; Stordal, Andreas S.; Hewitt, Neal

doi:10.1016/j.cageo.2017.02.003

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…The update loop used in this paper is compatible with a number of ensemblebased methods which have previously been implemented for reservoir data as-similation including the ensemble Kalman filter (Aanonsen et al, 2009), ensemble smoother (Skjervheim and Evensen, 2011;Skjervheim et al, 2015), the particle filter (Lorentzen et al, 2016), and more sophisticated combinations of the above, such as adaptive Gaussian mixture filter (Lorentzen et al, 2017). To demonstrate the workflow, we use the standard ensemble Kalman filter (EnKF) method (Chen et al, 2015;Luo et al, 2015) for the implementation described in this paper.…”

Section: Ensemble-based Update Algorithmmentioning

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: Ensemble-based Update Algorithmmentioning

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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Stable recurrent calculation of isotropic Gaussian filter coefficients

Piretzidis

Sideris

2019

Computers & Geosciences

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An Interactive Decision Support System for Geosteering Operations

Alyaev

Bratvold

Luo

et al. 2018

Day 1 Wed, April 18, 2018

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In this work we present a systematic geosteering workflow that automatically integrates a priori information and the real-time measurements for updating of geomodel with uncertainties, and uses the latest model predictions in a Decision Support System (DSS). The DSS supports geosteering decisions by evaluating production potential versus drilling and completion risks. In our workflow, the uncertainty in the geological interpretation around the well is represented via multiple realizations of the geology. The realizations are updated using EnKF (Ensemble Kalman Filter) in real-time when new LWD measurements become available, providing a modified prediction of the geology ahead of the bit. For every geosteering decision, the most recent representation of the geological uncertainty is used as input for the DSS. It suggests steering correction or stopping, considering complete well trajectories ahead-of-the-bit against the always updated representation of key uncertainties. The optimized well trajectories and the uncertainties are presented to the users of the DSS via a GUI. This interface enables interactive adjustment of decision criteria and constraints, which are applied in a matter of seconds using advanced dynamic programming algorithms yielding consistently updated decision suggestions. To illustrate the benefits of the DSS, we consider synthetic cases for which we demonstrate the model updating and the decision recommendations. The DSS is particularly advantageous for unbiased high-quality decision making when navigating in complex reservoirs with several potential targets and significant interpretation uncertainty. The initial results demonstrate statistically optimal landing and navigating of the well in such a complex reservoir. Furthermore, the capability to adjust and re-weight the objectives provides the geosteering team with the ability to change the selected trade-offs between the objectives as they drill. Under challenging conditions, model-based results as input to a decision process that is traditionally much based on human intuition and judgement is expected to yield superior decisions. The novel DSS offers a new paradigm for geosteering where the geosteering experts control the input to the DSS by choosing decision criteria. At the same time, the DSS identifies the optimal decisions through multi-objective optimization under uncertainty. It bridges the gap between developments in formation evaluation and reservoir mapping on one side, and automation of the drilling process on the other. Hence, the approach creates value based on the existing instrumentation and technology.

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An auxiliary adaptive Gaussian mixture filter applied to flowrate allocation using real data from a multiphase producer

Cited by 3 publications

References 34 publications

A decision support system for multi-target geosteering

A decision support system for multi-target geosteering

Stable recurrent calculation of isotropic Gaussian filter coefficients

An Interactive Decision Support System for Geosteering Operations

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