Ning Liu – författare

This book is a guide to the use of inverse theory for estimation and conditional simulation of flow and transport parameters in porous media. It describes the theory and practice of estimating properties of underground petroleum reservoirs from measurements of flow in wells, and it explains how to characterize the uncertainty in such estimates. Early chapters present the reader with the necessary background in inverse theory, probability and spatial statistics. The book demonstrates how to calculate sensitivity coefficients and the linearized relationship between models and production data. It also shows how to develop iterative methods for generating estimates and conditional realizations. The text is written for researchers and graduates in petroleum engineering and groundwater hydrology, and can be used as a textbook for advanced courses on inverse theory in petroleum engineering. It includes many worked examples to demonstrate the methodologies and a selection of exercises.

This book is a guide to the use of inverse theory for estimation and conditional simulation of flow and transport parameters in porous media. It describes the theory and practice of estimating properties of underground petroleum reservoirs from measurements of flow in wells, and it explains how to characterize the uncertainty in such estimates. Early chapters present the reader with the necessary background in inverse theory, probability and spatial statistics. The book demonstrates how to calculate sensitivity coefficients and the linearized relationship between models and production data. It also shows how to develop iterative methods for generating estimates and conditional realizations. The text is written for researchers and graduates in petroleum engineering and groundwater hydrology, and can be used as a textbook for advanced courses on inverse theory in petroleum engineering. It includes many worked examples to demonstrate the methodologies and a selection of exercises.

This book analyzes how the English as a Second Language (ESL) pedagogic genre has been re-contextualized in the Shanghai Foreign Language Education Press National College English Teaching Contest (SFLEP) for presentation to the contest judges and audience. Departing from prior research on contest discourse, it focuses on the role of teaching contests in re-contextualizing educational practices. Moreover, it addresses the processes of genre blurring and solidification at work in new discourse events. The results presented here serve to frame teaching contest discourse in a fuller contextual configuration and will help contest sponsors, participants, and audience members better understand this popular social event and its relations to real-world teaching practices, while simultaneously helping teachers to understand the relevance of such contest practice. Moreover, the research methods will benefit those linguists who are interested in researchingother types of event discourses.

This book analyzes how the English as a Second Language (ESL) pedagogic genre has been re-contextualized in the Shanghai Foreign Language Education Press National College English Teaching Contest (SFLEP) for presentation to the contest judges and audience. Departing from prior research on contest discourse, it focuses on the role of teaching contests in re-contextualizing educational practices. Moreover, it addresses the processes of genre blurring and solidification at work in new discourse events. The results presented here serve to frame teaching contest discourse in a fuller contextual configuration and will help contest sponsors, participants, and audience members better understand this popular social event and its relations to real-world teaching practices, while simultaneously helping teachers to understand the relevance of such contest practice. Moreover, the research methods will benefit those linguists who are interested in researchingother types of event discourses.

This book presents the proceedings from the Third International Workshop on Generalizing from Limited Resources in the Open World (GLOW) 2025 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2025, in Montreal, Canada, during August 16-22, 2025.The 12 full papers in this book were carefully reviewed and selected from 27 submissions. These papers focus on the academic exploration of efficient methodologies within the realm of artificial intelligence models. We concentrated on both data-efficient strategies, such as zero/few-shot learning and domain adaptation, as well as model-efficient approaches like model sparsification and compact model design.