Interpretation-A Journal of Subsurface Characterization
ISSN:2324-8858

Interpretation-A Journal of Subsurface Characterization

INTERPRETATION-J SUB
学科领域:地球科学
是否预警:不在预警名单内
是否OA:
录用周期:-
新锐分区:地球科学4区
年发文量:78
影响因子:1
JCR分区:Q3

基本信息

*** 由美国石油地质学家协会(AAPG)和勘探地球物理学家协会(SEG)联合出版 ***《解释》是一本新的同行评审期刊,旨在促进地下解释实践。
2324-8858SCIE/Scopus收录
1
0.9
2026年3月发布
点击查看历史分区趋势    >
大类学科小类学科Top期刊综述期刊
地球科学4区
GEOCHEMISTRY & GEOPHYSICS 地球化学与地球物理
4区
N/A
WOS期刊SCI分区  2024-2025最新升级版
按JIF指标学科分区收集子录JIF分区JIF排名百分位
学科:GEOCHEMISTRY & GEOPHYSICS
SCIE
Q3
75/101
按JCR指标学科分区收集子录JCR分区JCR排名百分位
学科:GEOCHEMISTRY & GEOPHYSICS
SCIE
Q3
75/102
暂无h-index数据
78
----GEOCHEMISTRY & GEOPHYSICS-
10%
时间预警情况
2026年03月发布的新锐学术版不在预警名单中
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
100.00%2.84%0.98%
CiteScore:2.30
SJR:0.339
SNIP:0.519
学科类别分区排名百分位
大类:Earth and Planetary Sciences
小类:Geophysics
Q2
86 / 177
大类:Earth and Planetary Sciences
小类:Geology
Q2
163 / 330

期刊高被引文献

SaltSeg: Automatic 3D salt segmentation using a deep convolutional neural network
来源期刊:InterpretationDOI:10.1190/INT-2018-0235.1
Convolutional neural networks as aid in core lithofacies classification
来源期刊:InterpretationDOI:10.1190/INT-2018-0245.1
Detecting faults and channels while enhancing seismic structural and stratigraphic features
来源期刊:InterpretationDOI:10.1190/INT-2017-0174.1
Independent component analysis for reservoir geomorphology and unsupervised seismic facies classification in the Taranaki Basin, New Zealand
来源期刊:InterpretationDOI:10.1190/INT-2018-0109.1
Unsupervised physics-based neural networks for seismic migration
来源期刊:InterpretationDOI:10.1190/INT-2018-0230.1
Using machine learning as an aid to seismic geomorphology, which attributes are the best input?
来源期刊:InterpretationDOI:10.1190/INT-2018-0096.1
Full-volume 3D seismic interpretation methods: A new step towards high-resolution seismic stratigraphy
来源期刊:InterpretationDOI:10.1190/INT-2018-0184.1
Integrating distributed acoustic sensing, borehole 3C geophone array, and surface seismic array data to identify long-period long-duration seismic events during stimulation of a Marcellus Shale gas reservoir
来源期刊:InterpretationDOI:10.1190/INT-2018-0078.1
Multispectral, multiazimuth, and multioffset coherence attribute applications
来源期刊:InterpretationDOI:10.1190/INT-2018-0090.1
Missing log data interpolation and semiautomatic seismic well ties using data matching techniques
来源期刊:InterpretationDOI:10.1190/INT-2018-0044.1
Improving seismic fault detection by super-attribute-based classification
来源期刊:InterpretationDOI:10.1190/INT-2018-0188.1
Attribute selection in seismic facies classification: Application to a Gulf of Mexico 3D seismic survey and the Barnett Shale
来源期刊:InterpretationDOI:10.1190/INT-2018-0246.1
3D vertical seismic profile acquired with distributed acoustic sensing on tubing installation: A case study from the CO2CRC Otway Project
来源期刊:InterpretationDOI:10.1190/INT-2018-0086.1
Stratigraphic architecture and petrophysical characterization of formations for deep disposal in the Fort Worth Basin, Texas
来源期刊:InterpretationDOI:10.1190/INT-2018-0195.1
Characterization of mass transport deposits using seismic attributes: Upper Leonard Formation, Permian Basin
来源期刊:InterpretationDOI:10.1190/INT-2019-0036.1
The thickness imaging of channels using multiple-frequency components analysis
来源期刊:InterpretationDOI:10.1190/INT-2018-0064.1
Crustal architecture of the northwestern and central Gulf of Mexico from integrated geophysical analysis
来源期刊:InterpretationDOI:10.1190/INT-2018-0258.1
Multiattribute framework analysis for the identification of carbonate mounds in the Brazilian presalt zone
来源期刊:InterpretationDOI:10.1190/INT-2018-0004.1
Ordovician glacial paleogeography: Integration of seismic spectral decomposition, well sedimentological data, and glacial modern analogs in the Murzuq Basin, Libya
来源期刊:InterpretationDOI:10.1190/INT-2018-0069.1
Generating variable shapes of salt geobodies from seismic images and prior geological knowledge
来源期刊:InterpretationDOI:10.1190/INT-2019-0032.1
Effect of anisotropy, angle, and critical tensile stress and confining pressures on evaluation of shale brittleness index — Part 1: Methodology and laboratory study
来源期刊:InterpretationDOI:10.1190/INT-2018-0143.1
Pitfalls and implementation of data conditioning, attribute analysis, and self-organizing maps to 2D data: Application to the Exmouth Plateau, North Carnarvon Basin, Australia
来源期刊:InterpretationDOI:10.1190/INT-2018-0248.1
Relationships between lineal fracture intensity and chemical composition in the Marcellus Shale, Appalachian Basin
来源期刊:InterpretationDOI:10.1190/INT-2018-0221.1
Reflector dip estimates based on seismic waveform curvature/flexure analysis
来源期刊:InterpretationDOI:10.1190/INT-2018-0054.1
3D controlled-source electromagnetic imaging of gas hydrates: Insights from the Pelotas Basin offshore Brazil
来源期刊:InterpretationDOI:10.1190/INT-2018-0212.1
Geometric seismic attribute estimation using data-adaptive windows
来源期刊:InterpretationDOI:10.1190/INT-2018-0114.1
Overburden characterization with formation pore pressure and anisotropic stress field estimation in the Athabasca Basin, Canada
来源期刊:InterpretationDOI:10.1190/INT-2018-0146.1
Characterization of Arbuckle-basement wastewater disposal system, Payne County, Northern Oklahoma
来源期刊:InterpretationDOI:10.1190/int-2019-0025.1
Geomechanical analysis of microseismicity in an organic shale: A West Virginia Marcellus Shale example
来源期刊:InterpretationDOI:10.1190/INT-2018-0072.1
Dynamic mechanisms of lamina-induced fracture propagation in tight oil-sand formations
来源期刊:InterpretationDOI:10.1190/INT-2018-0101.1
Use of seismic attributes and open-hole log data to characterize production variability in a fractured carbonate play: A case study from Madison County, Texas
来源期刊:InterpretationDOI:10.1190/INT-2017-0224.1
Integrated geologic, geophysical, and petrophysical data to construct full field geologic model of Cambrian-Ordovician and Upper Cretaceous reservoir formations, Central Western Sirte Basin, Libya
来源期刊:InterpretationDOI:10.1190/INT-2017-0236.1
Estimating normal moveout velocity using the recurrent neural network
来源期刊:InterpretationDOI:10.1190/INT-2018-0243.1

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