scholarly journals Analyzing Stakeholders' Perceptions of the Critical Risk Factors in Oil and Gas Pipeline Projects

2019 ◽  
Vol 50 (2) ◽  
pp. 155-162
Author(s):  
Layth Kraidi ◽  
Raj Shah ◽  
Wilfred Matipa ◽  
Fiona Borthwick
Keyword(s):  
Risk Factors ◽  
Oil And Gas ◽  
Risk Mitigation ◽  
Third Party ◽  
Safety Level ◽  
Risk Monitoring ◽  
Survey Results ◽  
Severity Levels ◽  
Trusted Data ◽  
Pipeline Failures

Currently, there are enormous Risk Factors (RFs) threating the safety of Oil and Gas Pipelines (OGPs) at all stages of projects. However, there is a lack of information about the root causes of pipeline failures and an absence of trusted data about the "probability and severity" levels of the RFs; this hinders the risk management in such projects. To improve the safety level of OGPs, this paper aims to explore stakeholders' perceptions about pipeline failures issues to analyze the RFs and recommend effective Risk Mitigation Methods (RMMs). Due to the lack of trusted data about the RFs and RMMs, this paper started with extensive investigations to identify the critical RFs and the applied RMMs in OGP projects in different circumstances. The findings of these investigations were used to design a questionnaire survey, which was distributed to analyze the "probability and severity" levels of the RFs and evaluate the "usability and effectiveness" degrees of the suggested RMMs. The survey results revealed that RFs related to Third-Party Disruption (TPD) including sabotage and terrorism, corruption and insecure areas are the most severe RFs. Additionally, based on the survey some RMMs such as anti-corrosion efforts, laying the pipelines underground and using technologically advanced risk-monitoring systems were found to be effective RMMs. These results were found to be varied based on the stakeholders' occupation in the projects; for example, the overall survey results indicated that terrorism and sabotage is the most critical RF, while the planners and the researchers identified corruption as the most critical one. It was also observed that using anti-corrosion measures such as isolation and cathodic protection would be the most effective RMM, while the other stakeholders have different perceptions like moving the pipelines underground an advanced risk-monitoring system are the most effective RMMs as indicated by the consultant, planner or designer and researches respectively.

scholarly journals ANALYSING DELAY IMPACT FROM POTENTIAL RISK FACTORS ON PROJECT DELIVERY OF OIL AND GAS PIPELINE: A CASE STUDY IN IRAQ

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
LAYTH A KRAIDI ◽  
Raj Shah ◽  
Wilfred Matipa ◽  
Fiona Fiona Borthwick
Keyword(s):  
Risk Factors ◽  
Oil And Gas ◽  
Risk Mitigation ◽  
Mitigation Measures ◽  
Project Delivery ◽  
Analysis Framework ◽  
Potential Risk Factors ◽  
South Of Iraq ◽  
The Impact

The aim of this paper is to present the design and specifications of an integrated Delay Analysis Framework (DAF), which could be used to quantify the delay caused by the Risk Factors (RFs) in Oil and Gas Pipelines (OGPs) projects in a simple and systematic way. The main inputs of the DAF are (i) the potential list of RFs in the projects and their impact levels on the projects and the estimated maximum and minimum duration of each task. Monte Carlo Simulation integrated within @Risk simulator was the key process algorithm that used to quantify the impact of delay caused by the associated RFs. The key output of the DAF is the amount of potential delay caused by RFs in the OGP project. The functionalities of the developed DAF were evaluated using a case study of newly developed OGP project, in the south of Iraq. It is found that the case study project might have delayed by 45 days if neglected the consideration of the RFs associated with the project at the construction stage. The paper concludes that identifying the associated RFs and analysing the potential delay in advance will help in reducing the construction delay and improving the effectiveness of the project delivery by taking suitable risk mitigation measures.  

scholarly journals 798. Metronidazole Exposure Prior to Clostridiodes difficile Infection (CDI) is a Risk Factor for Severe C. difficile Disease in Cancer Patients

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S442-S443
Author(s):  
Denise Marie A Francisco ◽  
Liangliang Zhang ◽  
Ying Jiang ◽  
Adilene Olvera ◽  
Eduardo Yepez Guevara ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Cancer Patients ◽  
Research Study ◽  
Research Support ◽  
Factors Associated ◽  
Patients With Cancer ◽  
Study Investigator ◽  
Severity Levels ◽  
Permutation Analysis

Abstract Background Antibiotic use is a risk factor for CDI. Few studies have correlated use of prior antibiotics with CDI severity in cancer patients. This study identified clinical and microbiology risk factors associated with severe CDI in patients with cancer. We hypothesized that previous antibiotic exposure and microbiome composition at time of CDI presentation, are risk factors for severe disease in cancer patients. Methods This non-interventional, prospective, single-center cohort study examined patients with cancer who had their first episode or first recurrence of CDI between Oct 27, 2016 and Jul 1, 2019. C. difficile was identified using nucleic acid amplification testing. Multivariate analysis was used to determine significant clinical risk factors for severe CDI as defined in the 2018 IDSA/SHEA guidelines. Alpha, and beta diversities were calculated to measure the average species diversity and the overall microbial composition. Differential abundance analysis and progressive permutation analysis were used to single out the significant microbial features that differed across CDI severity levels. Results Patient (n=200) demographics show mean age of 60 yrs., 53% female, majority White (76%) and non-Hispanic (85%). Prior 90 day metronidazole use (Odds Ratio OR 4.68 [1.47-14.91] p0.009) was a significant risk factor for severe CDI. Other factors included Horn’s Index > 2 (OR 7.75 [1.05-57.35] p0.045), Leukocytosis (OR 1.29 [1.16-1.43] p< 0.001), Neutropenia (OR 6.01 [1.34-26.89] p0.019) and Serum Creatinine >0.95 mg/dL (OR 25.30 [8.08-79.17] p< 0.001). Overall, there were no significant differences in alpha and beta diversity between severity levels. However, when identifying individual microbial features, the high presence of Bacteroides uniformis, Ruminococceae, Citrobacter koseri and Salmonella were associated with protection from severe CDI (p< 0.05). Table 1 - Results of multivariate logistic regression analysis of factors associated with severe CDI Figure 1. Microbiome features identified by progressive permutation analysis as seen in a volcano plot. Conclusion A number of risk factors for severe CDI were identified among this population, including prior 90 day metronidazole use. Also, increased relative abundance of Bacteroides uniformis, Ruminococceae, Citrobacter koseri and Salmonella were linked to protection from severe CDI. Reducing metronidazole use in patients with cancer may help prevent subsequent severe CDI. Disclosures Adilene Olvera, MPH MLS (ASCP), MERK (Grant/Research Support, Scientific Research Study Investigator) Kevin W. Garey, PharmD, MS, FASHP, Merck & Co. (Grant/Research Support, Scientific Research Study Investigator) Ryan J. Dillon, MSc, Merck & Co., Inc., (Employee) Engels N. Obi, PhD, Merck & Co. (Employee)

scholarly journals Infection dynamics and persistence of hepatitis E virus on pig farms – a review

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
M. Meester ◽  
T. J. Tobias ◽  
M. Bouwknegt ◽  
N. E. Kusters ◽  
J. A. Stegeman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatitis E Virus ◽  
Risk Mitigation ◽  
Transmission Rate ◽  
Hepatitis E ◽  
Main Body ◽  
Genotype 3 ◽  
Infection Dynamics ◽  
Pig Farms ◽  
Slaughter Pigs

Abstract Background Hepatitis E virus (HEV) genotype 3 and 4 is a zoonosis that causes hepatitis in humans. Humans can become infected by consumption of pork or contact with pigs. Pigs are the main reservoir of the virus worldwide and the virus is present on most pig farms. Main body Though HEV is present on most farms, the proportion of infected pigs at slaughter and thus the level of exposure to consumers differs between farms and countries. Understanding the cause of that difference is necessary to install effective measures to lower HEV in pigs at slaughter. Here, HEV studies are reviewed that include infection dynamics of HEV in pigs and on farms, risk factors for HEV farm prevalence, and that describe mechanisms and sources that could generate persistence on farms. Most pigs become infected after maternal immunity has waned, at the end of the nursing or beginning of the fattening phase. Risk factors increasing the likelihood of a high farm prevalence or proportion of actively infected slaughter pigs comprise of factors such as farm demographics, internal and external biosecurity and immunomodulating coinfections. On-farm persistence of HEV is plausible, because of a high transmission rate and a constant influx of susceptible pigs. Environmental sources of HEV that enhance persistence are contaminated manure storages, water and fomites. Conclusion As HEV is persistently present on most pig farms, current risk mitigation should focus on lowering transmission within farms, especially between farm compartments. Yet, one should be aware of the paradox of increasing the proportion of actively infected pigs at slaughter by reducing transmission insufficiently. Vaccination of pigs may aid HEV control in the future.

Ground Adaptability Characterization for Digging in Complex Geotechnical Conditions and Risk Mitigation

2011 ◽  
Vol 415-417 ◽  
pp. 1431-1434
Author(s):  
Wei Wei Yu ◽  
Xuan Guo
Keyword(s):  
Risk Factors ◽  
Control Method ◽  
Risk Mitigation ◽  
Tunnel Construction ◽  
Soil Pressure ◽  
Ground Movements ◽  
Construction Risk ◽  
And Control ◽  
Methods Of Control

Characterization of geotechnical digging and control the dynamical settlement is very necessary to mitigate construction risk. The metro tunnels of being constructed access to each other or near to the ground is high risk and physically difficult and costly. The control method becomes imperative. Some cases of digging prediction of ground movements and assessment of risk of damage to above or adjacent constructions have become an important issue especially in urban projec. Ground adaptability characterization is the key of control the tunneling in complex geotechnical conditions both in rock and soft stratum. High and changed water-soil pressure also is risk factors to effect tunneling process. Beside discussion of risk mitigation associate to tunnel construction, the developing settlement control and simulations are given to describe the methods of control risk.

scholarly journals Well Integrity Analysis and Application Based on FTA Method

2016 ◽  
Vol 2 (1) ◽  
pp. 20
Author(s):  
Lili Yan
Keyword(s):  
Risk Factors ◽  
Oil And Gas ◽  
Gas Production ◽  
Control Measures ◽  
Analysis Model ◽  
Oil And Gas Production ◽  
Wellbore Integrity ◽  
Minimum Path ◽  
Failure Risk ◽  
Production Run

<p><em>With the increase of development the well integ</em><em>c</em><em>rity</em><em> </em><em>problem are becoming more and more serious. This article uses the </em><em>F</em><em>ault </em><em>T</em><em>ree </em><em>A</em><em>nalysis (FTA) method for many factors, such as completion, production and operation process, pressure annulus, the cementing quality, the wellhead system and leakage of pipe string.</em><em> </em><em>Many wellbore risk factors to conduct a comprehensive analysis and evaluation. Through the qualitative analysis of wellbore integrity failure risk, determining the level of risk factors and establishing the damage analysis model of the wellbore. According to the selected blocks in Shengli Oilfield example analysis of single wells find out the minimum cut sets, the minimum path sets and structure importance. The results showed that the selected block probability of top event is calculated and it’s 0.9961, and the actual selection conforms to statistics prove that the proposed based on the FTA wellbore damage risk analysis method is feasible, and through quantitative analysis and calculation of basic events of different important degree of parameters.</em></p><p><em>According to these risk factors for prevention of failure risk control measures are put forward, which provides reference for predict wellbore integrity to ensure the safety of oil and gas production run smoothly.</em></p>

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