Conclusive Proof of Weak Bedding Planes in the Marcellus Shale and Proposed Mitigation Strategies

Author(s):  
Julie Kowan ◽  
◽  
Luke Schanken ◽  
Robert Jacobi ◽  
◽  
...  

Wellbore instability has been experienced in areas of the Marcellus Shale and can become particularly troublesome in the superlaterals that are becoming more prevalent in that play. Often, the instability while drilling these very long lateral wells is minimal; problems are more likely to occur while tripping out after reaching total depth (TD). The most common instability events when pulling out of the hole are tight hole, packoff, and stuck pipe and are often accompanied by excessive cavings. These problems often worsen with time, indicating there is some time dependence to the failure mechanism. In order to develop effective mitigation strategies to combat the instability, it is imperative that the failure mechanism be correctly identified. Previous publications (Riley et al., 2012; Addis et al., 2016; Kowan and Ong, 2016) have suggested that bedding planes may play a role in some of the drilling problems experienced in the Marcellus Shale. This case study provides conclusive proof of weak bedding plane failure along a lateral well in the Marcellus Shale, where over 1,000 feet of anisotropic failure was captured with a logging-while-drilling (LWD) image tool. This image not only provided confirmation of the presence and failure of weak bedding planes in the Marcellus Shale, but was also used to validate an existing geomechanical model for the area. Validating the model gave the operator more confidence in the mitigation strategies developed from that geomechanical model, which had been based on the assumption that weak bedding was contributing to the difficulty experienced on multiple lateral wells when tripping out of the hole. This case study begins with an overview of the geomechanical model, including the drilling history, stress/pore pressure model, and rock properties. Next, some highlights from the image log, showing anisotropic bedding plane failure, are featured, as well as a comparison of the image to the geomechanical model. This case study concludes with proposed mitigation strategies that could be implemented to limit the risks posed by weak beds and to minimize instability when drilling laterals in the Marcellus Shale in this area or similarly complex areas.

2020 ◽  
Author(s):  
Julie Kowan ◽  
◽  
Luke Schanken ◽  
Robert Jacobi ◽  
◽  
...  

2020 ◽  
Author(s):  
George Karagiannakis

This paper deals with state of the art risk and resilience calculations for industrial plants. Resilience is a top priority issue on the agenda of societies due to climate change and the all-time demand for human life safety and financial robustness. Industrial plants are highly complex systems containing a considerable number of equipment such as steel storage tanks, pipe rack-piping systems, and other installations. Loss Of Containment (LOC) scenarios triggered by past earthquakes due to failure on critical components were followed by severe repercussions on the community, long recovery times and great economic losses. Hence, facility planners and emergency managers should be aware of possible seismic damages and should have already established recovery plans to maximize the resilience and minimize the losses. Seismic risk assessment is the first step of resilience calculations, as it establishes possible damage scenarios. In order to have an accurate risk analysis, the plant equipment vulnerability must be assessed; this is made feasible either from fragility databases in the literature that refer to customized equipment or through numerical calculations. Two different approaches to fragility assessment will be discussed in this paper: (i) code-based Fragility Curves (FCs); and (ii) fragility curves based on numerical models. A carbon black process plant is used as a case study in order to display the influence of various fragility curve realizations taking their effects on risk and resilience calculations into account. Additionally, a new way of representing the total resilience of industrial installations is proposed. More precisely, all possible scenarios will be endowed with their weighted recovery curves (according to their probability of occurrence) and summed together. The result is a concise graph that can help stakeholders to identify critical plant equipment and make decisions on seismic mitigation strategies for plant safety and efficiency. Finally, possible mitigation strategies, like structural health monitoring and metamaterial-based seismic shields are addressed, in order to show how future developments may enhance plant resilience. The work presented hereafter represents a highly condensed application of the research done during the XP-RESILIENCE project, while more detailed information is available on the project website https://r.unitn.it/en/dicam/xp-resilience.


Author(s):  
William Ng ◽  
Kevin Weaver ◽  
Zachary Gemmill ◽  
Herve Deslandes ◽  
Rudolf Schlangen

Abstract This paper demonstrates the use of a real time lock-in thermography (LIT) system to non-destructively characterize thermal events prior to the failing of an integrated circuit (IC) device. A case study using a packaged IC mounted on printed circuit board (PCB) is presented. The result validated the failing model by observing the thermal signature on the package. Subsequent analysis from the backside of the IC identified a hot spot in internal circuitry sensitive to varying value of external discrete component (inductor) on PCB.


Author(s):  
Sarven Ipek ◽  
David Grosjean

Abstract The application of an individual failure analysis technique rarely provides the failure mechanism. More typically, the results of numerous techniques need to be combined and considered to locate and verify the correct failure mechanism. This paper describes a particular case in which different microscopy techniques (photon emission, laser signal injection, and current imaging) gave clues to the problem, which then needed to be combined with manual probing and a thorough understanding of the circuit to locate the defect. By combining probing of that circuit block with the mapping and emission results, the authors were able to understand the photon emission spots and the laser signal injection microscopy (LSIM) signatures to be effects of the defect. It also helped them narrow down the search for the defect so that LSIM on a small part of the circuit could lead to the actual defect.


Geosciences ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 150
Author(s):  
Nilgün Güdük ◽  
Miguel de la Varga ◽  
Janne Kaukolinna ◽  
Florian Wellmann

Structural geological models are widely used to represent relevant geological interfaces and property distributions in the subsurface. Considering the inherent uncertainty of these models, the non-uniqueness of geophysical inverse problems, and the growing availability of data, there is a need for methods that integrate different types of data consistently and consider the uncertainties quantitatively. Probabilistic inference provides a suitable tool for this purpose. Using a Bayesian framework, geological modeling can be considered as an integral part of the inversion and thereby naturally constrain geophysical inversion procedures. This integration prevents geologically unrealistic results and provides the opportunity to include geological and geophysical information in the inversion. This information can be from different sources and is added to the framework through likelihood functions. We applied this methodology to the structurally complex Kevitsa deposit in Finland. We started with an interpretation-based 3D geological model and defined the uncertainties in our geological model through probability density functions. Airborne magnetic data and geological interpretations of borehole data were used to define geophysical and geological likelihoods, respectively. The geophysical data were linked to the uncertain structural parameters through the rock properties. The result of the inverse problem was an ensemble of realized models. These structural models and their uncertainties are visualized using information entropy, which allows for quantitative analysis. Our results show that with our methodology, we can use well-defined likelihood functions to add meaningful information to our initial model without requiring a computationally-heavy full grid inversion, discrepancies between model and data are spotted more easily, and the complementary strength of different types of data can be integrated into one framework.


2020 ◽  
Vol 12 (1) ◽  
pp. 1094-1104
Author(s):  
Nima Dastanboo ◽  
Xiao-Qing Li ◽  
Hamed Gharibdoost

AbstractIn deep tunnels with hydro-geological conditions, it is paramount to investigate the geological structure of the region before excavating a tunnel; otherwise, unanticipated accidents may cause serious damage and delay the project. The purpose of this study is to investigate the geological properties ahead of a tunnel face using electrical resistivity tomography (ERT) and tunnel seismic prediction (TSP) methods. During construction of the Nosoud Tunnel located in western Iran, ERT and TSP 303 methods were employed to predict geological conditions ahead of the tunnel face. In this article, the results of applying these methods are discussed. In this case, we have compared the results of the ERT method with those of the TSP 303 method. This work utilizes seismic methods and electrical tomography as two geophysical techniques are able to detect rock properties ahead of a tunnel face. This study shows that although the results of these two methods are in good agreement with each other, the results of TSP 303 are more accurate and higher quality. Also, we believe that using another geophysical method, in addition to TSP 303, could be helpful in making decisions in support of excavation, especially in complicated geological conditions.


Author(s):  
Rory England ◽  
Nicholas Peirce ◽  
Joseph Torresi ◽  
Sean Mitchell ◽  
Andy Harland

AbstractA review of literature on the role of fomites in transmission of coronaviruses informed the development of a framework which was used to qualitatively analyse a cricket case study, where equipment is shared and passed around, and identify potential mitigation strategies. A range of pathways were identified that might in theory allow coronavirus transmission from an infected person to a non-infected person via communal or personal equipment fomites or both. Eighteen percent of potential fomite based interactions were found to be non-essential to play including all contact with another persons equipment. Six opportunities to interrupt the transmission pathway were identified, including the recommendation to screen participants for symptoms prior to play. Social distancing between participants and avoiding unnecessary surface contact provides two opportunities; firstly to avoid equipment exposure to infected respiratory droplets and secondly to avoid uninfected participants touching potential fomites. Hand sanitisation and equipment sanitisation provide two further opportunities by directly inactivating coronavirus. Preventing players from touching their mucosal membranes with their hands represents the sixth potential interruption. Whilst potential fomite transmission pathways were identified, evidence suggests that viral load will be substantially reduced during surface transfer. Mitigation strategies could further reduce potential fomites, suggesting that by comparison, direct airborne transmission presents the greater risk in cricket.


2020 ◽  
Vol 18 (7) ◽  
pp. 71-89
Author(s):  
Amy Barber, BSc ◽  
Annaëlle Vinzent, BS ◽  
Imani Williams, BA

Background: The COVID-19 crisis placed extraordinary demands on the supply of personal protective equipment (PPE) at the beginning of 2020. These were coupled with shocks to the supply chain resulting from the disease. Many typically well-resourced health systems faced subsequent shortages of equipment and had to implement new strategies to manage their stocks. Stockpiles of protective equipment were held in both the United States and United Kingdom intended to prevent shortages. Method: Cross-comparative case study approach by applying Pettigrew and Whipp’s framework for change management. Setting: The health systems of England and New York state from January 2020 to the end of April 2020. Results: Both cases reacted slowly to their outbreaks and faced problems with supplying enough PPE to their health systems. Their stockpiles were not enough to prevent shortages, with many distribution problems resulting from inadequate governance mechanisms. No sustainable responses to supply disruptions were implemented during the study period in either case. Health systems planned interventions along each part of the supply chain from production and importing, to usage guidelines. Conclusion: Global supply chains are vulnerable to disruptions caused by international crises, and existing mitigation strategies have not been wholly successful. The existence of stockpiles is insufficient to preventing shortages of necessary equipment in clinical settings. Both the governance and quality of stockpiles, as well as distribution channels are important for preventing shortages. At the time of writing, it is not possible to judge the strength of strategies adopted in these cases.


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