Permian Basin Production Performance Comparison Over Time and the Parent-Child Well Study

2019 ◽  
Author(s):  
Tao Xu ◽  
Wei Zheng ◽  
Jason Baihly ◽  
Priyank Dwivedi ◽  
Dan Shan ◽  
...  
Keyword(s):  
Performance Comparison ◽  
Production Performance ◽  
Permian Basin ◽  
Over Time ◽  
Parent Child

scholarly journals GPU accelerated atmospheric chemical kinetics in the ECHAM/MESSy (EMAC) Earth system model (version 2.52)

2017 ◽  
Author(s):  
Michail Alvanos ◽  
Theodoros Christoudias
Keyword(s):  
Chemical Kinetics ◽  
Atmospheric Chemistry ◽  
Climate Model ◽  
Global Climate Model ◽  
Hardware Acceleration ◽  
Performance Comparison ◽  
Production Performance ◽  
System Modelling ◽  
Analysis Tool ◽  
Earth System

Abstract. This paper presents an application of GPU accelerators in Earth system modelling. We focus on atmospheric chemical kinetics, one of the most computationally intensive tasks in climate-chemistry model simulations. We developed a software package that automatically generates CUDA kernels to numerically integrate atmospheric chemical kinetics in the global climate model ECHAM/MESSy Atmospheric Chemistry (EMAC), used to study climate change and air quality scenarios. A source-to-source compiler outputs a CUDA compatible kernel, by parsing the FORTRAN code generated by the Kinetic Pre-Processor (KPP) general analysis tool. All Rosenbrock methods that are available in the KPP numerical library are supported. Performance evaluation, using Fermi and Pascal CUDA-enabled GPU accelerators shows achieved speedups of 4.5× and 22.4× respectively of the kernel execution time. A node-to-node real-world production performance comparison shows a 1.75× speed-up over the non-accelerated application using the KPP 3-stage Rosenbrock solver. We provide a detailed description of the code optimizations used to improve the performance including memory optimizations, control code simplification, and reduction of idle time. The accuracy and correctness of the accelerated implementation are evaluated by comparing to the CPU-only version of the application. The relative difference is found to be less than 0.00005 % when comparing the output of the accelerated kernel the CPU-only code, within the target level of relative accuracy (relative error tolerance) of 0.1 %. The approach followed, including the computational workload division and the developed GPU solver code can potentially be used as the basis for hardware acceleration of numerous geoscientific models that rely on KPP for atmospheric chemical kinetics applications.

scholarly journals Neural synchrony in mother–child conversation: Exploring the role of conversation patterns

2020 ◽  
Author(s):  
Trinh Nguyen ◽  
Hanna Schleihauf ◽  
Ezgi Kayhan ◽  
Daniel Matthes ◽  
Pascal Vrtička ◽  
...  
Keyword(s):  
Family Environment ◽  
Near Infrared ◽  
Temporal Dynamics ◽  
Neural Synchrony ◽  
Functional Near Infrared Spectroscopy ◽  
Neural Synchronization ◽  
Turn Taking ◽  
Over Time ◽  
Parent Child

Abstract Conversations are an essential form of communication in daily family life. Specific patterns of caregiver–child conversations have been linked to children’s socio-cognitive development and child-relationship quality beyond the immediate family environment. Recently, interpersonal neural synchronization has been proposed as a neural mechanism supporting conversation. Here, we present a functional near-infrared spectroscopy (fNIRS) hyperscanning study looking at the temporal dynamics of neural synchrony during mother–child conversation. Preschoolers (20 boys and 20 girls, M age 5;07 years) and their mothers (M age 36.37 years) were tested simultaneously with fNIRS hyperscanning while engaging in a free verbal conversation lasting for 4 min. Neural synchrony (using wavelet transform coherence analysis) was assessed over time. Furthermore, each conversational turn was coded for conversation patterns comprising turn-taking, relevance, contingency and intrusiveness. Results from linear mixed-effects modeling revealed that turn-taking, but not relevance, contingency or intrusiveness predicted neural synchronization during the conversation over time. Results are discussed to point out possible variables affecting parent–child conversation quality and the potential functional role of interpersonal neural synchronization for parent–child conversation.

scholarly journals Genetic amplification and the individualization of the parent–child relationship across adolescence

2012 ◽  
Vol 43 (2) ◽  
pp. 413-422 ◽  
Author(s):  
S. Ludeke ◽  
W. Johnson ◽  
M. McGue ◽  
W. G. Iacono
Keyword(s):  
Criminal Behavior ◽  
Genetic Factors ◽  
Freedom Of Expression ◽  
Genetic Influence ◽  
Self Report ◽  
Parent Child Relationship ◽  
Psychological Traits ◽  
Child Relationship ◽  
Over Time ◽  
Parent Child

BackgroundMany psychological traits become increasingly influenced by genetic factors throughout development, including several that might intuitively be seen as purely environmental characteristics. One such trait is the parent–child relationship, which is associated with a variety of socially significant outcomes, including mental health and criminal behavior. Genetic factors have been shown to partially underlie some of these associations, but the changing role of genetic influence over time remains poorly understood.MethodOver 1000 participants in a longitudinal twin study were assessed at three points across adolescence with a self-report measure regarding the levels of warmth and conflict in their relationships with their parents. These reports were analyzed with a biometric growth curve model to identify changes in genetic and environmental influences over time.ResultsGenetic influence on the child-reported relationship with parent increased throughout adolescence, while the relationship's quality deteriorated. The increase in genetic influence resulted primarily from a positive association between genetic factors responsible for the initial relationship and those involved in change in the relationship over time. By contrast, environmental factors relating to change were negatively related to those involved in the initial relationship.ConclusionsThe increasing genetic influence seems to be due to early genetic influences having greater freedom of expression over time whereas environmental circumstances were decreasingly important to variance in the parent–child relationship. We infer that the parent–child relationship may become increasingly influenced by the particular characteristics of the child (many of which are genetically influenced), gradually displacing the effects of parental or societal ideas of child rearing.

Can a Cube Model Mitigate Parent-Child Effects and Improve Oil Recovery in the Permian Basin

2020 ◽  
Author(s):  
Qiyan Yan ◽  
Wei Zheng ◽  
Shripad Biniwale ◽  
Raj Banerjee ◽  
Tao Xu ◽  
...  
Keyword(s):  
Oil Recovery ◽  
Permian Basin ◽  
Child Effects ◽  
Parent Child

The Influence of Development Target Depletion on Stress Evolution and Infill Drilling of Upside Target in the Permian Basin

2021 ◽  
pp. 1-20
Author(s):  
Yanli Pei ◽  
Wei Yu ◽  
Kamy Sepehrnoori ◽  
Yiwen Gong ◽  
Hongbing Xie ◽  
...  
Keyword(s):  
Stress State ◽  
Stress Field ◽  
Unconventional Reservoirs ◽  
Fracture Model ◽  
Stress Evolution ◽  
Permian Basin ◽  
Well Production ◽  
Infill Drilling ◽  
Reservoir Geomechanics ◽  
Parent Child

Summary The extensive depletion of the development target triggers the demand for infill drilling in the upside target of multilayer unconventional reservoirs. However, such an infill scheme in the field practice still heavily relies on empirical knowledge or pressure responses, and the geomechanics consequences have not been fully understood. Backed by the data set from the Permian Basin, in this work we present a novel integrated reservoir-geomechanics-fracture model to simulate the spatiotemporal stress evolution and locate the optimal development strategy in the upside target of the Bone Spring Formation. An embedded discrete fracture model (EDFM) is deployed in our fluid-flow simulation to characterize complex fractures, and the stress-dependent matrix permeability and fracture conductivity are included through the compaction/dilation option. After calibrating reservoir and fracture properties by history matching of an actual well in the development target (i.e., third Bone Spring), we run the finite element method (FEM)-based geomechanics simulation to model the 3D stress state evolution. Then a displacement discontinuity method (DDM) hydraulic fracture model is applied to simulate the multicluster fracture propagation under an updated heterogeneous stress field in the upside target (i.e., second Bone Spring). Numerical results indicate that stress field redistribution associated with parent-well production indeed vertically propagates to the upside target. The extent of stress reorientation at the infill location mainly depends on the parent-child horizontal offset, whereas the stress depletion is under the combined impact of horizontal offset, vertical offset, and infill time. A smaller parent-child horizontal offset aggravates the overlap of the stimulated reservoir volume (SRV), resulting in more substantial interwell interference and less desirable oil and gas production. The same trend is observed by varying the parent-child vertical offset. Moreover, the efficacy of an infill operation at an earlier time is less affected by parent-well depletion because of the less-disturbed stress state. The candidate infill-well locations at various infill timings are suggested based on the parent-well and child-well production cosimulation. Being able to incorporate both pressure and stress responses, the reservoir-geomechanics-fracture model delivers a more comprehensive understanding and a more integral solution of infill-well design in multilayer unconventional reservoirs. The conclusions provide practical guidelines for the subsequent development in the Permian Basin.

scholarly journals GPU-accelerated atmospheric chemical kinetics in the ECHAM/MESSy (EMAC) Earth system model (version 2.52)

2017 ◽  
Vol 10 (10) ◽  
pp. 3679-3693 ◽  
Author(s):  
Michail Alvanos ◽  
Theodoros Christoudias
Keyword(s):  
Chemical Kinetics ◽  
Atmospheric Chemistry ◽  
Climate Model ◽  
System Modeling ◽  
Global Climate Model ◽  
Hardware Acceleration ◽  
Performance Comparison ◽  
Production Performance ◽  
Analysis Tool ◽  
Earth System

Abstract. This paper presents an application of GPU accelerators in Earth system modeling. We focus on atmospheric chemical kinetics, one of the most computationally intensive tasks in climate–chemistry model simulations. We developed a software package that automatically generates CUDA kernels to numerically integrate atmospheric chemical kinetics in the global climate model ECHAM/MESSy Atmospheric Chemistry (EMAC), used to study climate change and air quality scenarios. A source-to-source compiler outputs a CUDA-compatible kernel by parsing the FORTRAN code generated by the Kinetic PreProcessor (KPP) general analysis tool. All Rosenbrock methods that are available in the KPP numerical library are supported.Performance evaluation, using Fermi and Pascal CUDA-enabled GPU accelerators, shows achieved speed-ups of 4. 5 ×  and 20. 4 × , respectively, of the kernel execution time. A node-to-node real-world production performance comparison shows a 1. 75 ×  speed-up over the non-accelerated application using the KPP three-stage Rosenbrock solver. We provide a detailed description of the code optimizations used to improve the performance including memory optimizations, control code simplification, and reduction of idle time. The accuracy and correctness of the accelerated implementation are evaluated by comparing to the CPU-only code of the application. The median relative difference is found to be less than 0.000000001 % when comparing the output of the accelerated kernel the CPU-only code.The approach followed, including the computational workload division, and the developed GPU solver code can potentially be used as the basis for hardware acceleration of numerous geoscientific models that rely on KPP for atmospheric chemical kinetics applications.

Parent-child well dynamics the focus of 1-day Permian workshop

2019 ◽  
Vol 38 (2) ◽  
pp. 162-162
Keyword(s):  
Case Studies ◽  
Return On Investment ◽  
Service Providers ◽  
Recent Case ◽  
Permian Basin ◽  
Unconventional Resources ◽  
Learning Points ◽  
Parent Child

A one-day Unconventional Resources Technology Conference (URTeC) workshop will bring together recent case studies from Permian Basin operators, service providers, and academia to provide key learning points that can be tested and applied to improve recovery and maximize return on investment. Titled “Understanding parent-child well dynamics,” the workshop will take place 5 March in Midland, Texas.

Parent–offspring similarity in personality and adolescents' problem behaviour

2005 ◽  
Vol 19 (1) ◽  
pp. 51-68 ◽  
Author(s):  
Cathy van Tuijl ◽  
Susan J. T. Branje ◽  
Judith Semon Dubas ◽  
Ad A. Vermulst ◽  
Marcel A. G. Van Aken
Keyword(s):  
Personality Type ◽  
Well Being ◽  
Parent Child Relationship ◽  
Problem Behaviour ◽  
Child Relationship ◽  
Externalizing Problem ◽  
And Control ◽  
Internalizing And Externalizing ◽  
Over Time ◽  
Parent Child

Similarity in personality between adolescents and their parents may have considerable implications for adolescent well‐being. We studied how the similarity in personality between 288 adolescents and their parents is linked to adolescent problem behaviour, and whether this link is mediated by warmth and control in the parent–child relationship and moderated by the personality type of the adolescent. Similarity in personality between adolescents and their parents was negatively related to internalizing and externalizing problem behaviour, both concurrently and over time. This relation was not mediated by the parent–child relationship. The effects were present for overcontrolled but not for resilient or undercontrolled adolescents. Copyright © 2004 John Wiley & Sons, Ltd.

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