Stratigraphic and structural control over permeability distribution in poorly consolidated siliciclastic rocks

Permeability models are very relevant for the characterization of oil systems. However, limitations related to the resolution of seismic data make it difficult to identify subseismic, sedimentary, and tectonic structures, which can significantly impact the flow pattern. This study analyzed the spatial variability of permeability according to stratigraphic and structural geology control to propose a useful model for poorly consolidated, fractured, and faulted siliciclastic reservoirs. In an outcrop analogue to this type of reservoir, air permeability was measured in 3 orthogonal directions at 24 points, spaced 2 m apart.The models were obtained by sequential Gaussian simulation (SGS) after statistical data treatment. The models were validated to ensure the consistency of the generated scenarios. Permeability values showed a positive asymmetric distribution and reduced medians toward tectonic structures. The fitted semivariogram model was exponential, with higher spatial continuity in the horizontal flow direction and lower in the vertical one. The permeability models emphasized the importance of considering subseismic structures in the flow analysis of reservoirs since they have proven to play a significant role in the permeability distribution in the outcrop assessed.

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Diffuse soil CO_2 degassing from Linosa island

Annals of Geophysics ◽

10.4401/ag-6476 ◽

2014 ◽

Vol 57 (3) ◽

Author(s):

Dario Cellura ◽

Vincenzo Stagno ◽

Marco Camarda ◽

Mariano Valenza

Keyword(s):

Sequential Gaussian Simulation ◽

Rift System ◽

Volcanic Complex ◽

Tectonic Structures ◽

Soil Degassing ◽

Active Tectonic ◽

Active Portion ◽

Sicily Channel ◽

Gaussian Simulation ◽

First Time

Herein, we present and discuss the result of 148 measurements of soil CO2 flux performed for the first time in Linosa island (Sicily Channel, Italy), a Plio-Pleistocene volcanic complex no longer active but still of interest owing to its location within a seismically active portion of the Sicily Channel rift system. The main purpose of this survey was to assess the occurrence of CO2 soil degassing, and compare flux estimations from this island with data of soil degassing from worldwide active volcanic as well as non-volcanic areas. To this aim soil CO2 fluxes were measured over a surface of about 4.2 km2 covering ~80% of the island. The soil CO2 degassing was observed to be mainly concentrated in the eastern part of the island likely due to volcano-tectonic lineaments, the presence of which is in good agreement with the known predominant regional faults system. Then, the collected data were interpreted using sequential Gaussian simulation that allowed estimating the total CO2 emissions of the island. Results show low levels of CO2 emissions from the soil of the island (~55 ton d-1) compared with CO2 emissions of currently active volcanic areas, such as Miyakejima (Japan) and Vulcano (Italy). Results from this study suggest that soil degassing in Linosa is mainly fed by superficial organic activity with a moderate contribution of a deep CO2 likely driven by NW-SE trending active tectonic structures in the eastern part of the island.

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Spatio-temporal Web Performance Prediction: Turning Bands Method and Sequential Gaussian Simulation

Procedia Computer Science ◽

10.1016/j.procs.2016.08.236 ◽

2016 ◽

Vol 96 ◽

pp. 568-576

Author(s):

Leszek Borzemski ◽

Michał Danielak ◽

Anna Kamińska-Chuchmała

Keyword(s):

Performance Prediction ◽

Sequential Gaussian Simulation ◽

Web Performance ◽

Turning Bands ◽

Spatio Temporal ◽

Gaussian Simulation

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The Practice of Sequential Gaussian Simulation

Geostatistics Banff 2004 - Quantitative Geology and Geostatistics ◽

10.1007/978-1-4020-3610-1_39 ◽

2005 ◽

pp. 387-398 ◽

Cited By ~ 5

Author(s):

Marek Nowak ◽

Georges Verly

Keyword(s):

Sequential Gaussian Simulation ◽

Gaussian Simulation

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History matching of an Oil Reservoir using Non-dominated Sorting Genetic Algorithm-II coupled with Sequential Gaussian Simulation

10.1109/icses52305.2021.9633849 ◽

2021 ◽

Author(s):

Giridhar Vadicharla ◽

Pushpa Sharma ◽

S. K. Gupta ◽

D N Saraf

Keyword(s):

Genetic Algorithm ◽

History Matching ◽

Sequential Gaussian Simulation ◽

Oil Reservoir ◽

Gaussian Simulation

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Spatio-temporal Web Performance Forecasting with Sequential Gaussian Simulation Method

Computer Networks - Communications in Computer and Information Science ◽

10.1007/978-3-642-31217-5_12 ◽

2012 ◽

pp. 111-119 ◽

Cited By ~ 3

Author(s):

Leszek Borzemski ◽

Anna Kamińska-Chuchmała

Keyword(s):

Simulation Method ◽

Sequential Gaussian Simulation ◽

Web Performance ◽

Spatio Temporal ◽

Performance Forecasting ◽

Gaussian Simulation

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Axial and Radial Material Flow Analysis in Infeed Rotary Swaging of Tubes

MATEC Web of Conferences ◽

10.1051/matecconf/201819004003 ◽

2018 ◽

Vol 190 ◽

pp. 04003 ◽

Cited By ~ 1

Author(s):

Yang Liu ◽

Marius Herrmann ◽

Christian Schenck ◽

Bernd Kuhfuss

Keyword(s):

Wall Thickness ◽

Material Flow ◽

Flow Direction ◽

Flow Analysis ◽

Material Flow Analysis ◽

Relative Wall Thickness ◽

Cold Forming ◽

Rotary Swaging ◽

Fundamental Insight ◽

Actual Ratio

In rotary swaging – an incremental cold forming production technique to reduce the diameter of axisymmetric parts – the material flow can be assumed to be predominantly axial and radial. The actual ratio of this axial and radial flow influences the mechanical properties and especially in tube forming the final geometry. It is known that during mandrel free infeed rotary swaging of tubes the wall thickness changes. The change is depending on the process parameters like incremental and cumulated strain. Hence, the ratio of axial and radial material flow changes. Consequently, the analysis of the wall thickness of rotary swaged tubes enables fundamental insight how to control the material flow direction. In this study, the infeed rotary swaging process of steel tubes with different wall thicknesses from 3 mm to 7 mm and rods were investigated with FEM under two feeding velocities. The axial and radial material flow and the resulting geometry were studied by the relative wall thickness. It could be seen that the relative wall thickness was affected by the feeding velocity as well as the initial wall thickness. The findings of the simulation were validated by rotary swaging experiments.

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Which Path to Choose in Sequential Gaussian Simulation

Mathematical Geosciences ◽

10.1007/s11004-017-9699-5 ◽

2017 ◽

Vol 50 (1) ◽

pp. 97-120 ◽

Cited By ~ 12

Author(s):

Raphaël Nussbaumer ◽

Grégoire Mariethoz ◽

Erwan Gloaguen ◽

Klaus Holliger

Keyword(s):

Sequential Gaussian Simulation ◽

Gaussian Simulation

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A Robust Mixing Plane and Its Application in Three-Dimensional Inverse Design of Transonic Turbine Stages

Journal of Turbomachinery ◽

10.1115/1.4028216 ◽

2014 ◽

Vol 137 (1) ◽

Cited By ~ 1

Author(s):

Saurya Ranjan Ray ◽

Mehrdad Zangeneh

Keyword(s):

Performance Improvement ◽

Load Distribution ◽

Flow Direction ◽

Flow Analysis ◽

Three Dimensional ◽

Inverse Design ◽

Transonic Turbine ◽

Machine Configuration ◽

Lp Turbine ◽

Flow Variables

A robust mixing plane method satisfying interface flux conservation, nonreflectivity and retaining interface flow variation; valid at all Mach numbers and applicable for any machine configuration is formulated and implemented in a vertex based finite volume solver for flow analysis and inverse design. The formulation is based on superposing perturbed flow variables derived from the three-dimensional (3D) characteristics obtained along the flow direction on the exchanged mixed out averaged quantities. The method is extended for low speed applications using low Mach number preconditioning. Subsequently, inverse design runs over a single stage transonic low pressure (LP) turbine configuration conducted at a fixed mass flow boundary condition and spanwise loading condition similar to the baseline generates optimized configurations providing performance improvement while achieving prespecified target meridional load distribution.

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