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A Data-Driven Approach For Monitoring And Predictive Diagnosis Of Sucker Rod Pump System
Get PDFGiven its long operational history, a sucker-rod pump (SRP) has been widely utilized as a lifting solution to bring reservoir fluids to the surface with low cost and high efficiency. However, debugging the rod pump issues requires on-site activities that could cost time and money for operators. With the vast dataset collected from years of operation, numerous companies are looking to turn these engineering processes into automated systems in the oilfield network, despite the complexity of data and lack of knowledge. The integral approach is to develop real-time diagnostics for downhole conditions. The emerging artificial intelligence and big-data analytics have provided relatively precise downhole condition forecasting based on available data, enabling better decision-making. This thesis focuses on collecting representative data and utilizing machine learning techniques to predict operational anomalies of sucker-rod pumps.
An experimental design at the University of Oklahoma, referred to as Interactive Digital Sucker Rod Pumping Unit (IDSRP), was used to facilitate a data-driven solution and monitor SRP performance and diagnostics. The physical framework includes a 50-ft transparent casing and tubing with a downhole rod pump at the bottom. A linear actuator provides the rod string’s reciprocal movement and simulates different surface units and operating scenarios. This facility uses proper instrumentation and a data acquisition system for signal sensor readings. A workflow is developed to translate surface dynamometer cards to downhole ones and train predictive models in time-driven pressure and rate data. Though primarily focusing on the normal pump operation, the test matrix varies in stroke length, pump speed, and rod movement shape.
The tests validate the model to classify and detect various operational conditions in sucker-rod pumps. The model dynamically categorizes the pumps into key states of ideal condition and over-pumping with a regression fit of accuracy higher than 0.7 and overall classification accuracy of 92%. Moreover, the real-time model anticipates an event in which the pump experiences a slight pumping-off that could potentially deteriorate the rod. The results also help understand key features that drive sucker rod pump performance prediction and help detect anomalous pump behavior. The machine learning algorithms, developed by the physics-based inputs, generate predictive models, thus classifying operational conditions or failures of the pump. The diagnosis for the pump’s anomalies is also predicted by a real time analysis. The visualization enables to recognize the patterns and abnormal phases early. The explainable machine learning (i.e. Shapley additive explanation) helps decoding the predictive models with feature importance, local and global sensitivities in categorizing SRP conditions.
The developed unit has the capability of working with different well conditions, combining with real-time training and applying models, to initiate early warnings. The developed processes and workflows have the potential of becoming a generic optimizing and monitoring model for rod pumps. The novelty of this setup consists not only in its mechatronic design but also in through monitoring of the pump operations
Oblique Pedagogical Strategies: Improv and Speculative Realism in Support of Social Justice Design Education
Get PDFThis paper was presented at the 2020 Schools of Thought Conference hosted by the Christopher C. Gibbs College of Architecture at the University of Oklahoma.This paper acknowledges the extent to which the majority of people who work in the field of architecture are white, examines the way that whiteness in the prevailing charity-service model of community-engaged design undermines meaningful social justice design, calls for dismantling white cultural dominance in architectural education, and outlines a pedagogical method that has shown some promise in uncovering blind spots caused by dominant culture belonging that commonly prevents architects from understanding the experiences of others during design analysis, especially where asymmetrical privilege exists, such as in the field of community-engaged design. With roots in improvisational theater tactics and a thinking framework from speculative realism that helps undermine defaulting to traditional hierarchies, these oblique pedagogical strategies appear to expand student capacity for open inquiry and self-reflection, revealing previously invisible biases, and may point to more meaningful social justice design with community. The hope is that this is an entry to providing transformative education in undergraduate architecture studios that creates unfettered creative space for students of color and productively reveals bias to white students. The concern remains that the tactic persists in centering white feelings of comfort in a way that erases BIPOC distress in the studio. Early experiments with this pedagogical approach showed promise in a fifth-year undergraduate capstone studio at Jefferson University focused on how architects (a largely privileged population) can form alliances with communities experiencing gentrification (a largely marginalized population) and again in a -second-year undergraduate studio deployed within a design fundamentals curriculum at the University of Wisconsin–Milwaukee School of Architecture and Urban Planning.Ye
Architecture Education for World Citizenship
Get PDFThis paper presents findings from fourteen qualitative interviews conducted with students of architecture from eleven schools of the Nordic Baltic Academy of Architecture (NBAA) and from numerous conversations conducted with students in architecture at my home institution, Iceland University of the Arts (IUA). The findings of these conversations reveal that students consider a meaningful architectural education one that helps them make ethical design choices. To do so, respondents indicated that schools should help students find their inner compass, develop their professional skills and ethical attitudes, think independently, and make a difference in society and beyond. Four narratives emerge that describe the multiple roles of an architect in our society: the dissident intellectual, the ethical professional, the storyteller, and the caregiver of the world. Based on these findings, and with the support of the work of Henry Giroux’s “Critical Theory and Rationality in Citizenship Education” and Martha Nussbaum’s “Patriotism and Cosmopolitanism,” a framework referred to as Cosmopolitan Citizenship Architecture Education (CCAE) was developed.Ye