Real Time Advanced Flow Analysis for Early Kick/Loss Detection &amp; Identification of Open Fractures

Al-Muraikhi, Rasha; Al-Shamali, Adnan; Al-Sammak, Ibrahim; Estarabadi, Javad; Martocchia, Alberto; Ferroni, Gionata; Marai, N.; Janbakhsh, M.

doi:10.2118/167335-ms

All Days 2013

DOI: 10.2118/167335-ms

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Real Time Advanced Flow Analysis for Early Kick/Loss Detection & Identification of Open Fractures

Rasha Al-Muraikhi¹,

Adnan Al-Shamali

Ibrahim Al-Sammak

et al.

Abstract: Development, delineation and appraisal wells drilled in high pressured, naturally fractured Jurassic reservoirs of West Kuwait are exposed to the risk of "well kicks" and "mud-losses". The risk becomes greater due to differential reservoir pressures, presence of naturally open fractures, and narrow pressure window between formation-and fracture-pressures. In many instances, "alternate loss & gain scenario" ensues and the well control options become limited, occasionally, further drilling becomes impossible lea… Show more

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Probabilistic assessment of equivalent fracture aperture constrained on quasi-real-time drilling mud loss data

Patani

Colombo²,

Russo³

et al. 2022

J Petrol Explor Prod Technol

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We provide a rigorous workflow to quantify the effects of key sources of uncertainty associated with equivalent fracture aperture estimates w constrained through mud loss information acquired while drilling a well in a reservoir. A stochastic inverse modeling framework is employed to estimate the probability distribution of w. This choice is consistent with the quantity and quality of available data. The approach allows assessing the probability that values of w inferred from mud loss events exceed a given threshold. We rely on a streamlined analytical solution to model mud losses while drilling. We explicitly consider uncertainties associated with model parameters and forcing terms, including drilling fluid rheological properties and flow rates, pore fluid pressure, and dynamic drilling fluid pressure. A synthetic scenario is considered to provide a transparent reference setting against which our stochastic inverse modeling workflow can be appraised. The approach is then applied to a real-case scenario. The latter is associated with data monitored on a rig site. A direct comparison of the impact of data collected through two common techniques (respectively, relying on flow meter sensors or pump strokes) on the ensuing probability of w is provided. A detailed analysis of the uncertainty related to the level of data corruption is also performed, considering various levels of measurement errors. Results associated with the field setting suggest that the proposed workflow yields probability distribution of w that are compatible with interpretations relying on traditional analyses of image logs. Results stemming from direct and indirect flow data display similar shapes. This suggests the viability of the probabilistic inversion methodology to assist quasi-real-time identification of equivalent fracture apertures on the basis of routinely acquired information during drilling.

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Probabilistic assessment of equivalent fracture aperture constrained on quasi-real-time drilling mud loss data

Patani

Colombo²,

Russo³

et al. 2022

J Petrol Explor Prod Technol

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show abstract

Kick detection and remedial action in managed pressure drilling: a review

et al. 2020

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Effect of bubble size on ultrasound backscatter from bubble clouds in the context of gas kick detection in boreholes

Indimath

Fiorentini

Bøklepp

et al. 2023

Sci Rep

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Early detection of gas influx in boreholes while drilling is of significant interest to drilling operators. Several studies suggest a good correlation between ultrasound backscatter/attenuation and gas volume fraction (GVF) in drilling muds, and thereby propose methods for quantification of GVF in boreholes. However, the aforementioned studies neglect the influence of bubble size, which can vary significantly over time. This paper proposes a model to combine existing theories for ultrasound backscatter from bubbles depending on their size, viz. Rayleigh scattering for smaller bubbles, and specular reflection for larger bubbles. The proposed model is demonstrated using simulations and experiments, where the ultrasound backscatter is evaluated from bubble clouds of varying bubbles sizes. It is shown that the size and number of bubbles strongly influence ultrasound backscatter intensity, and it is correlated to GVF only when the bubble size distribution is known. The information on bubble size is difficult to obtain in field conditions causing this correlation to break down. Consequently, it is difficult to reliably apply methods based on ultrasound backscatter, and by extension its attenuation, for the quantification of GVF during influx events in a borehole. These methods can however be applied as highly sensitive detectors of gas bubbles for GVF $$\ge$$ ≥ 1 vol$$\%$$ % .

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Real Time Advanced Flow Analysis for Early Kick/Loss Detection & Identification of Open Fractures

Cited by 3 publications

References 0 publications

Probabilistic assessment of equivalent fracture aperture constrained on quasi-real-time drilling mud loss data

Probabilistic assessment of equivalent fracture aperture constrained on quasi-real-time drilling mud loss data

Kick detection and remedial action in managed pressure drilling: a review

Effect of bubble size on ultrasound backscatter from bubble clouds in the context of gas kick detection in boreholes

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