Completion (oil and gas wells) ≈ Completion (oil and gas wells)
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KG-BERT: BERT for Knowledge Graph Completion Open
Knowledge graphs are important resources for many artificial intelligence tasks but often suffer from incompleteness. In this work, we propose to use pre-trained language models for knowledge graph completion. We treat triples in knowledge…
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Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks Open
Matrix completion models are among the most common formulations of recommender systems. Recent works have showed a boost of performance of these techniques when introducing the pairwise relationships between users/items in the form of grap…
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Novel Water-Based Drilling and Completion Fluid Technology to Improve Wellbore Quality During Drilling and Protect Unconventional Reservoirs Open
The efficient exploration and development of unconventional oil and gas are critical for increasing the self-sufficiency of oil and gas supplies in China. However, such operations continue to face serious problems (e.g., borehole collapse,…
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Intelligent Drilling and Completion: A Review Open
The application of artificial intelligence (AI) has become inevitable in the petroleum industry. In drilling and completion engineering, AI is regarded as a transformative technology that can lower costs and significantly improve drilling …
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Comprehensive review of water shutoff methods for horizontal wells Open
This paper provides a comprehensive review of the water control techniques that have been applied in horizontal wells and presents the water control methods for wells of different completion types. Water shutoff techniques are classified a…
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Dominating factors on well productivity and development strategies optimization in Weiyuan shale gas play, Sichuan Basin, SW China Open
Weiyuan shale gas play is characterized by thin high-quality reservoir thickness, big horizontal stress difference, and big productivity differences between wells. Based on integrated evaluation of shale gas reservoir geology and well logg…
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Knowledge Base Completion via Coupled Path Ranking Open
Knowledge bases (KBs) are often greatly incomplete, necessitating a demand for KB completion. The path ranking algorithm (PRA) is one of the most promising approaches to this task. Previous work on PRA usually follows a single-task learnin…
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Smart lost circulation materials for productive zones Open
Lost circulation has been a serious problem while drilling that may lead to heavy financial costs in the form of lost rig time and lost mud fluid. In severe cases, it can lead to well blowout with serious environmental hazards and safety c…
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Unpaired Point Cloud Completion on Real Scans using Adversarial Training Open
As 3D scanning solutions become increasingly popular, several deep learning setups have been developed geared towards that task of scan completion, i.e., plausibly filling in regions there were missed in the raw scans. These methods, howev…
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Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems Open
This proposal introduces a Dialogue Challenge for building end-to-end task-completion dialogue systems, with the goal of encouraging the dialogue research community to collaborate and benchmark on standard datasets and unified experimental…
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A critical review of self-diverting acid treatments applied to carbonate oil and gas reservoirs Open
Carbonate reservoirs generally achieved relatively low primary resource recovery rates. It is therefore often necessary to clean those reservoirs up and/or stimulate them post drilling and later in their production life. A common and basic…
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Drilling and completion technologies for deep carbonate rocks in the Sichuan Basin: Practices and prospects Open
The exploration and development of oil and gas resources in the Sichuan Basin is shifting to the deeper strata. The deep and ultra-deep wells in deep carbonate gas reservoirs are faced with many difficulties, such as multiple pressure syst…
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Canonical Tensor Decomposition for Knowledge Base Completion Open
The problem of Knowledge Base Completion can be framed as a 3rd-order binary tensor completion problem. In this light, the Canonical Tensor Decomposition (CP) (Hitchcock, 1927) seems like a natural solution; however, current implementation…
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Towards using Few-Shot Prompt Learning for Automating Model Completion Open
We propose a simple yet a novel approach to improve completion in domain modeling activities. Our approach exploits the power of large language models by using few-shot prompt learning without the need to train or fine-tune those models wi…
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THE ROAD TO RETENTION: A CLOSER LOOK AT INSTITUTIONS THAT ACHIEVE HIGH COURSE COMPLETION RATES Open
Although online course completion rates are commonly believed to be lower than in other delivery modes, some programs achieve equal or better course completion rates. This issue presents studies that suggest certain practices contribute to…
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A Technology of Hydrocarbon Fluid Production Intensification by Productive Stratum Drainage Zone Reaming Open
The paper proposes a new technology for fluid production intensification, in particular hydrocarbons, which is implemented via significant increasing of the local wellbore diameter in the interval, where the productive stratum is present. …
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Determination of a safe mud window and analysis of wellbore stability to minimize drilling challenges and non-productive time Open
The instability of a wellbore is still one of the common problems during drilling. The cause of such a borehole failure can often be mitigated by suitably determining the critical mud pressure as well as the best well trajectory. Therefore…
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Knowledge Graph Completion via Complex Tensor Factorization Open
In statistical relational learning, knowledge graph completion deals with automatically understanding the structure of large knowledge graphs---labeled directed graphs---and predicting missing relationships---labeled edges. State-of-the-ar…
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Nudging at Scale: Experimental Evidence from FAFSA Completion Campaigns Open
Do nudge interventions that have generated positive impacts at a local level maintain efficacy when scaled state or nationwide?What specific mechanisms explain the positive impacts of promising smaller-scale nudges?We investigate, through …
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A machine learning model for predicting multi-stage horizontal well production Open
In this study, a hybrid convolutional-recurrent neural network (c-RNN) is evaluated for making predictions of the five-year cumulative production profiles in multistage hydraulically fractured wells. The model was trained by using a combin…
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Drilling Fluid and Cement Slurry Design for Naturally Fractured Reservoirs Open
For years, drilling engineers have been faced with the challenge of drilling wells through naturally fractured reservoirs that are present around the world. During drilling, the pressure at the bottomhole of a well is frequently intentiona…
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Optimization of horizontal well injection-production parameters for ultra-low permeable–tight oil production: A case from Changqing Oilfield, Ordos Basin, NW China Open
There are two kinds of displacement mechanisms and three different seepage stages during horizontal well development process with water injection energy. A reasonable injection-production working system of the basic principles and paramete…
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Well selection in depleted oil and gas fields for a safe CO2 storage practice: A case study from Malaysia Open
Carbon capture and sequestration technology is recognized as a successful approach taken to mitigate the amount of greenhouse gases released into the atmosphere. However, having a successful storage practice requires wise selection of suit…
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Results of system drilling techniques and completion of oil and gas wells Open
The article presents results of the improved technology for drilling and completion of oil and gas wells (Multi-technology Complex). The results are based on synchronization and consistency of thermodynamic processes of well bore strengthe…
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Skeleton-bridged Point Completion: From Global Inference to Local Adjustment Open
Point completion refers to complete the missing geometries of objects from partial point clouds. Existing works usually estimate the missing shape by decoding a latent feature encoded from the input points. However, real-world objects are …
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Beyond Top-Grasps Through Scene Completion Open
Current end-to-end grasp planning methods propose grasps in the order of\nseconds that attain high grasp success rates on a diverse set of objects, but\noften by constraining the workspace to top-grasps. In this work, we present a\nmethod …
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The integrated drainage technique of directional high-level borehole of super large diameter on roof replacing roof extraction roadway: A case study of the underground Zhaozhuang Coal Mine Open
To maintain the high-efficiency production of fully mechanized working face under the condition of highly mechanized mining and guarantee the security operations during mining process at high gassy outburst-prone mines, in most cases, the …
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Theoretical insights, core technologies and practices concerning “volume development” of shale gas in China Open
In recent years, major exploration breakthroughs and subsequent booming development of marine shale gas in both Upper Ordovician Wufeng and Lower Silurian Longmaxi Fms in the Sichuan Basin and its periphery highlight the strategic importan…
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Modeling Subsurface Performance of a Geothermal Reservoir Using Machine Learning Open
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells—increasing or decreasing the fluid flow rates across the wells—and drill…
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An evidence-based, point-of-care tool to guide completion of asthma action plans in practice Open
Asthma action plans (AAPs) reduce healthcare utilisation, improve quality of life and are recommended across guidelines. However, fewer than 25% of patients receive an AAP, partly due to prescribers' inability to complete “yellow zone” ins…