Searched for: author%3A%22Tian%2C+X.%22
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El Hajj, Marcel M. (author), Steele-Dunne, S.C. (author), Almashharawi, Samer K. (author), Tian, X. (author), Johansen, Kasper (author), Camargo, Omar A.Lopez (author), Amezaga-Sarries, Adria (author), Mas-Vinolas, Andreu (author), McCabe, Matthew F. (author)
Soil moisture (SM) is an important state variable in land surface models. Here, we investigate the potential of a ground-based global navigation satellite system receiver with two linearly polarized antennas that measure the interference power (IP) of direct and reflected signals in horizontal polarization (H-pol) and vertical polarization (V...
journal article 2024
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Tian, X. (author), Volkov, Oleg (author), Voskov, D.V. (author)
In this study, we present an efficient and flexible adjoint-based framework for history matching and forecasting geothermal energy extraction at a large scale. In this framework, we applied the Principal Component Analysis to reduce the parameter space for representing the complex geological model. The adjoint method is implemented for...
journal article 2024
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Tian, X. (author), Wapperom, M.B. (author), Gunning, James (author), Jackson, Samuel (author), Wilkins, Andy (author), Green, Chris (author), Ennis-King, Jonathan (author), Voskov, D.V. (author)
In this study, we conduct a comprehensive history matching study for the FluidFlower benchmark model. This benchmark was prepared and organized by the University of Bergen, the University of Stuttgart, and Massachusetts Institute of Technology, for promoting understanding of the complex physics of geological carbon storage (GCS) through in...
journal article 2024
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Tian, X. (author)
This study investigates the application of inverse modeling in numerical geo-energy scenarios such as petroleum, geothermal, and CCS projects. The study aims to enhance model accuracy and predictive capabilities for real-world applications. The focus lies on the implementation of the inverse modeling framework within the open-source simulator...
doctoral thesis 2023
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Tian, X. (author), Voskov, D.V. (author)
In this paper, we present an efficient inverse modeling framework for energy transition applications. The key feature of this framework is a combination of adjoint gradients and Operator-based Linearization (OBL) technique to achieve high efficiency in inverse modeling based on forward simulations. This framework allows conducting the history...
conference paper 2023
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Flemisch, Bernd (author), Nordbotten, Jan M. (author), Geiger, S. (author), Hajibeygi, H. (author), Tian, X. (author), Voskov, D.V. (author), Wang, Y. (author), Wapperom, M.B. (author), Zhang, Z. (author)
Successful deployment of geological carbon storage (GCS) requires an extensive use of reservoir simulators for screening, ranking and optimization of storage sites. However, the time scales of GCS are such that no sufficient long-term data is available yet to validate the simulators against. As a consequence, there is currently no solid basis...
journal article 2023
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Wapperom, M.B. (author), Tian, X. (author), Novikov, A. (author), Voskov, D.V. (author)
In this work, we describe our decisions made to perform the FluidFlower simulation study and discuss various aspects of the benchmark that are different from our usual subsurface simulation practice. We will discuss the impact of various modeling choices on the outcomes of the simulation models, such as gridding, discretization, and solver...
journal article 2023
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Tian, X. (author), Asadiesfahani, M. (author), Groenenboom, J. (author), Voskov, D.V. (author)
In this study, we present a history matching framework for oil production forecast based on synthetic and real production data developed using the stochastic Discrete Well Affinity (DiWA) model. With the increase in the complexity of the geological model and the uncertainty in the geological data, it becomes more difficult (sometimes infeasible)...
conference paper 2022
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Paraskevopoulos, S. (author), Smeets, Patrick (author), Tian, X. (author), Medema, G.J. (author)
Health risk assessment of environmental exposure to pathogens requires complete and up to date knowledge. With the rapid growth of scientific publications and the protocolization of literature reviews, an automated approach based on Artificial Intelligence (AI) techniques could help extract meaningful information from the literature and make...
journal article 2022
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Tian, X. (author), Voskov, D.V. (author)
In this paper, we describe adjoint gradient formulation for the Operator-Based Linearization modeling approach. Adjoint gradients are implemented in Delft Advanced Research Terra Simulator (DARTS) framework and applied for history matching using a proxy methodology. Due to the application of adjoint gradients, the computational efficiency of...
journal article 2022
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Tian, X. (author), Blinovs, A. (author), Khait, M. (author), Voskov, D.V. (author)
A physics-based data-driven model is proposed for forecasting of subsurface energy production. The model fully relies on production data and does not require any in-depth knowledge of reservoir geology or governing physics. In the proposed approach, we use the Delft Advanced Reservoir Terra Simulator (DARTS) as a workhorse for data-driven...
journal article 2021
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Guo, Y. (author), Tian, X. (author), Fang, Guohua (author), Xu, Yue Ping (author)
Inter-basin water transfers (IBWT) are implemented to re-allocate unevenly distributed water resources. However, many conflicting objectives associated with society, economy, and environment have made the water resources allocation problem in IBWT more complicated than ever before. Thus, there is a continuous need for in-depth research with...
journal article 2020
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Arauz, Teresa (author), Maestre, José M. (author), Tian, X. (author), Guan, Guanghua (author)
A new Proportional-Integral (PI) tuning method based on Linear Matrix Inequalities (LMIs) is presented. In particular, an LMI-based optimal control problem is solved to obtain a sparse feedback that provides the PI tuning. The ASCE Test Canal 1 is used as a case study. Using a linearised model of the canal, different tunings for the design of...
journal article 2020
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Ke, Q. (author), Tian, X. (author), Bricker, J.D. (author), Tian, Zhan (author), Guan, Guanghua (author), Cai, Huayang (author), Huang, Xinxing (author), Yang, Honglong (author), Liu, Junguo (author)
Urban pluvial flooding is a threatening natural hazard in urban areas all over the world, especially in recent years given its increasing frequency of occurrence. In order to prevent flood occurrence and mitigate the subsequent aftermath, urban water managers aim to predict precipitation characteristics, including peak intensity, arrival time...
journal article 2020
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Lin, N.M. (author), Tian, X. (author), Rutten, M.M. (author), Abraham, E. (author), Maestre, José M. (author), van de Giesen, N.C. (author)
This paper presents an extended Model Predictive Control scheme called Multi-objective Model Predictive Control (MOMPC) for real-time operation of a multi-reservoir system. The MOMPC approach incorporates the non-dominated sorting genetic algorithm II (NSGA-II), multi-criteria decision making (MCDM) and the receding horizon principle to solve...
journal article 2020
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Wang, S. (author), Zhang, Ke (author), van Beek, Ludovicus P.H. (author), Tian, X. (author), Bogaard, T.A. (author)
Rainfall-triggered shallow landslides are widespread natural hazards around the world, causing many damages to human lives and property. In this study, we focused on predicting landslides in a large region by coupling a 1 km-resolution hydrological model and a 90 m-resolution slope stability model, where a downscaling method for soil moisture...
journal article 2020
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Guo, Yuxue (author), Fang, Guohua (author), Xu, Yue Ping (author), Tian, X. (author), Xie, Jingkai (author)
Climate and land use/cover changes are the main factors altering hydrological regimes. To understand the impacts of climate and land use/cover changes on streamflow within a specific catchment, it is essential to accurately quantify their changes given many possibilities. We propose an integrated framework to assess how individual and...
journal article 2020
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Shahverdi, Kazem (author), Maestre, J. M. (author), Alamiyan-Harandi, Farinaz (author), Tian, X. (author)
Recently, a continuous reinforcement learning model called fuzzy SARSA (state, action, reward, state, action) learning (FSL) was proposed for irrigation canals. The main problem related to FSL is its convergence and generalization in environments with many variables such as large irrigation canals and situations beyond training. Furthermore,...
journal article 2020
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Liao, Wenjun (author), Guan, Guanghua (author), Tian, X. (author)
In the open channel control algorithm, good feed-forward controllers will reduce the transition time of the canal and improve performance. Feedforward control algorithms based on active storage compensation are greatly affected by delay time. However, there is no literature comparing the three most commonly used algorithms, namely volume step...
journal article 2019
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Aydin, B.E. (author), Tian, X. (author), Delsman, Joost (author), Oude Essink, Gualbert H.P. (author), Rutten, M.M. (author), Abraham, E. (author)
Worldwide, delta areas are under stress due to climate change. With rising sea<br/>levels and decreasing freshwater availability, surface water salinization due to<br/>groundwater exfiltration is expected to increase in these low-lying areas. To<br/>counteract surface water salinization, freshwater diverted from rivers is used to flush...
journal article 2019
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