GIS applied to geotechnical and environmental risk management in a Brazilian oil pipeline

Filho, Oswaldo Augusto; Hirai, Jonnhy Norio; Oliveira, André Silva; Liotti, Elizabeth Shen

doi:10.1007/s10064-010-0310-2

Cited by 12 publications

(7 citation statements)

References 1 publication

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“…Second, most of the applications either do not provide information about the type of consequences associated to the event under analysis (e.g., Islam et al Augusto Filho). Third, vulnerability assessment as well as probability of occurrence assessment are rarely included in the models (e.g., Anbazhagan et al .…”

Section: Spatial Risk Analysis: State Of the Artmentioning

confidence: 99%

An Integrated Framework for Environmental Multi‐Impact Spatial Risk Analysis

Ferretti

Montibeller

2017

Risk Analysis

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Quantitative risk analysis is being extensively employed to support policymakers and provides a strong conceptual framework for evaluating decision alternatives under uncertainty. Many problems involving environmental risks are, however, of a spatial nature, i.e., containing spatial impacts, spatial vulnerabilities, and spatial risk-mitigation alternatives. Recent developments in multicriteria spatial analysis have enabled the assessment and aggregation of multiple impacts, supporting policymakers in spatial evaluation problems. However, recent attempts to conduct spatial multicriteria risk analysis have generally been weakly conceptualized, without adequate roots in quantitative risk analysis. Moreover, assessments of spatial risk often neglect the multidimensional nature of spatial impacts (e.g., social, economic, human) that are typically occurring in such decision problems. The aim of this article is therefore to suggest a conceptual quantitative framework for environmental multicriteria spatial risk analysis based on expected multi-attribute utility theory. The framework proposes: (i) the formal assessment of multiple spatial impacts; (ii) the aggregation of these multiple spatial impacts; (iii) the assessment of spatial vulnerabilities and probabilities of occurrence of adverse events; (iv) the computation of spatial risks; (v) the assessment of spatial risk mitigation alternatives; and (vi) the design and comparison of spatial risk mitigation alternatives (e.g., reductions of vulnerabilities and/or impacts). We illustrate the use of the framework in practice with a case study based on a flood-prone area in northern Italy.

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Section: Spatial Risk Analysis: State Of the Artmentioning

confidence: 99%

An Integrated Framework for Environmental Multi‐Impact Spatial Risk Analysis

Ferretti

Montibeller

2017

Risk Analysis

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“…GIS has been used in many geotechnical applications ubiquitously over the world. For example, in Brazil, GIS used for geotechnical and environmental risk management of Brazilian oil pipeline in 2010 [4].…”

Section: Gis Application In Geotechnical Datamentioning

confidence: 99%

Categorising Geotechnical Properties of Surfers Paradise Soil Using Geographic Information System (Gis)

Al-Ani¹

2013

geomate

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Peat is a highly organic and compressible soil. Surfers Paradise (as a study area) has problematic peat layer which has different thickness at different locations between R.L. -10 to -19.6 m below the ground surface. Buildings in Surfers Paradise are using piled foundations to avoid the high compressibility and low shear strength peat layer. In this paper, geotechnical borelogs are compiled from 51 soil investigation reports in the study area. These borelogs data are then imported into ArcGIS10 as digital layers and converted into assessable formats by Geographic Information System (GIS). This technique has been utilised to produce digital zonation maps for the study area. The application of interpolation techniques allows the production of zonation maps and bring together years of geotechnical data. Standard Penetration Test (SPT) N values have been selected to determine the soil stiffness in the study area. These SPT-N values are then categorised to produce different zonation maps. The occurrence of peat layers can be located using these zonation maps. These GIS-based zonation maps will provide a better overview of subsurface geology, bed rock elevations, and geotechnical properties of the various soil types found in the study area.

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“…Soil resistivity is one of the key indicators of the corrosive classification assessment on metal materials in the soil environment, often because it is more practical to be measured than some other properties. Soil resistivity is by no means the only parameter affecting the risk of corrosion damage.…”

Section: Introductionmentioning

confidence: 99%

“…[14][15][16] Corrosion of carbon steel in soils is an electrochemical process, which can be affected by various environmental factors, including the type of soil, soil composition, pH, moisture, salt concentration, oxygen content, temperature, microorganisms, and so forth. [15] Soil resistivity is one of the key indicators of the corrosive classification assessment on metal materials in the soil environment, [17][18][19][20][21][22] often because it is more practical to be measured than some other properties. Soil resistivity is by no means the only parameter affecting the risk of corrosion damage.…”

Section: Introductionmentioning

confidence: 99%

Comparison of soil properties measurements in pipeline corrosion estimation

Marušić

Kekez

Martinez

2019

Materials & Corrosion

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Soil corrosion is a hazardous electrochemical process that affects buried metals in contact with soil. Corrosion in soils resembles atmospheric corrosion with corrosion rates usually higher and depending on the soil type. There are numerous properties of soil and thus soils can be classified in many different ways. Soil resistivity is one of the main indicators of soil corrosivity and thus of the hazardous impact the soil has on metal materials in the soil environment, although it is not the only parameter affecting the risk of corrosion damage. In this study on‐site measurements and laboratory measurements of soil characteristics are performed and compared. On‐site measurements include measuring the redox potential and soil resistivity by Wenner 4‐pin method, while the measurements in the laboratory include measuring soil conductivity, as well as moisture content, pH, content of sulphates, chlorides, and sulfides and polarization measurements, which give the most accurate results. The measurements have shown that if the Wenner 4‐pin method is performed in a convenient way the obtained results are not precise but can give an indicative picture of the corrosivity of the observed soil.

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GIS applied to geotechnical and environmental risk management in a Brazilian oil pipeline

Cited by 12 publications

References 1 publication

An Integrated Framework for Environmental Multi‐Impact Spatial Risk Analysis

An Integrated Framework for Environmental Multi‐Impact Spatial Risk Analysis

Categorising Geotechnical Properties of Surfers Paradise Soil Using Geographic Information System (Gis)

Comparison of soil properties measurements in pipeline corrosion estimation

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