Petroleum geostatistics for nongeostaticians

Chambers, Richard L.; Yarus, Jeffrey M.; Hird, Kirk B.

doi:10.1190/1.1438664

Cited by 19 publications

(6 citation statements)

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“…Among them, Markov chain Monte Carlo algorithm is later rise. Compared with the sequential Gaussian simulation algorithm, Markov chain has good features: the ability to unlimitedy approximating any complex distribution function, without waiting for the simulation parameters, obeys the Gauss distribution and after N iterations can always achieve the stationary distribution [ 9 ]. Therefore, this research uses geostatistical inversion to inverse porosity based on Markov chain Monte Carlo algorithm for reservoir prediction [ 10 ].…”

Section: Methodsmentioning

confidence: 99%

The Relationship Analysis between Water Injection and Microfacies of SHA1 Reservoir of Liao He Basin, China

Wang

Lu²,

Guo

et al. 2014

The Scientific World Journal

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SHA1 is the representative reservoir in Liao He Basin. Through the introduction of curvature displayed on the gray scale, we determine the substructure and fractures. Geostatistical inversion method is used to help study the porosity of reservoir. The relationship between interval transit times and resistivity among mudstone and sandstone, before and after water injection, is analyzed. The relationship between porosity and permeability and the relationship between porosity and impedance from core analysis were studied. Through the whole information above, we divide the microfacies of SHA1 reservoir to distributary channel, mouth bar, the leading edge thin sand, and prodelta mud. The water injections in different microfacies are studied. The distributary channel should be used by large distant injection wells or smaller injection pressure injection. The smaller distant injection wells or large injection pressure should be used in the mouth bar. The arrangement of well injection need consider the different sedimentary microfacies.

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Section: Methodsmentioning

confidence: 99%

The Relationship Analysis between Water Injection and Microfacies of SHA1 Reservoir of Liao He Basin, China

Wang

Lu²,

Guo

et al. 2014

The Scientific World Journal

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“…Kriging method was originally proposed by D G Krige in 1952, which is based on the actual geology conditions of South Africa gold mines. The method is an optimal linear unbiased estimation method, and belongs to one of core contents in geostatistics fields [26,27]. It considers the geometric features of information samples, such as the shape, size, and location.…”

Section: Kriging Prediction Modelmentioning

confidence: 99%

A novel Kriging-median inverse compensator for modeling and compensating asymmetric hysteresis of pneumatic artificial muscle

Yang

Chen

Sun

et al. 2018

Smart Mater. Struct.

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McKibben muscle is a kind of pneumatic artificial muscles (PAMs), and has been widely applied on robotic field as an actuator. Nevertheless, because of friction and elastic deformation, it has a strong asymmetric hysteresis which effects its actuating performance. In this paper, a novel Kriging prediction model (KPM) is proposed for describing PAM hysteresis. For improving predictive accuracy, a median filter is introduced and follows KPM, which is named Kriging-median inverse compensator (KMIC). Combining with PID controller, we present a KMIC-PID controller which consists of an open-loop KMIC and a close-loop PID controller. In order to verify the compensation control performance, some simulations and experiments are done, and the results are compared with traditional PID controller. Moreover, we introduce a Kalman filter during the experimental process, so that the effect of sensor noise can be eliminated. The Kalman filter is based on PID control parameters, so the controller used in experiment are named KMIC-Kalman PID (KPID). The simulation and experiment results show that the proposed controller has a significant compensation effect for PAM hysteresis in the condition of low frequency signal, because the hysteresis belongs to static characteristic. Furthermore, KMIC-KPID controller restricts the effect of sensor noise, which increases robustness of the system.

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“…All rights reserved. Sharp, 1998a, b;Chambers et al, 2000a, b;Miller et al, 2000). Integrated hydrogeophysical surveys, which span the range of spatial heterogeneity contained within fluvial deposits, can be used to develop more realistic flow models for large-scale fluvial aquifers (Beres and Haeni, 1991;Rubin et al, 1992;Chien et al, 1993;Hyndman et al, 1994;Hubbard et al, 1999) as well as provide high-resolution analogs for deeply buried fluvial hydrocarbon reservoirs (McMechan et al, 1997).…”

Section: Introductionmentioning

confidence: 98%

A multiscale radar‐stratigraphic analysis of fluvial aquifer heterogeneity

2002

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The objective of this study is to use an integrated and multiscale exploration approach to quantify the geometrical parameters that are needed to predict block hydraulic conductivity tensors within fluvial deposits. We use 3-D ground-penetrating radar (GPR) data, electromagnetic (EM) surveys, resistivity soundings, and hand-augered borings to characterize the 3-D architecture of fluvial deposits on a floodplain of the Piscatiquis River, near South Sebec, Maine. Field-scale surveys made across the entire floodplain were used to map the depth to the glacially eroded bedrock surface and the thickness of the overlying sediments, which consist of glaciomarine clay, fluvial sands and silts, and overbank deposits. An EM conductivity anomaly in the center of the floodplain defines the position of a ridge in the glaciomarine clay deposit. This ridge separates horizontally bedded sand and silt deposits in the northern half of the floodplain from inclined point-bar sand and silt deposits in the southern half of the floodplain. The orientation and spacing of the lateral accretion surfaces (or bounding layers) within the point-bar deposits in the southern part of the floodplain were measured in a 3-D GPR survey conducted over a 50-m 2 grid. The geometrical parameters defining the internal architecture of the point-bar deposits are used to estimate anisotropy ratios for the principal components of the block hydraulic conductivity tensor. This integrated exploration approach establishes a framework for quantifying fluvial aquifer heterogeneity from local to regional scales. Geostatistical methods and geological models can be used to integrate the local-scale and field-scale surveys. With the addition of more local-scale surveys, geophysical logs, and high-resolution cores, this exploration approach can be used to develop a multiscale flow model for the entire floodplain.

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Petroleum geostatistics for nongeostaticians

Cited by 19 publications

References 0 publications

The Relationship Analysis between Water Injection and Microfacies of SHA1 Reservoir of Liao He Basin, China

The Relationship Analysis between Water Injection and Microfacies of SHA1 Reservoir of Liao He Basin, China

A novel Kriging-median inverse compensator for modeling and compensating asymmetric hysteresis of pneumatic artificial muscle

A multiscale radar‐stratigraphic analysis of fluvial aquifer heterogeneity

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