FracAbut: A python']python toolbox for computing fracture stratigraphy using interface impedance

被引:0
|
作者
Soro, Paul Joseph Namongo [1 ]
Lamarche, Juliette [1 ]
Viseur, Sophie [1 ]
Richard, Pascal [2 ]
Messaadi, Fateh [1 ]
机构
[1] Aix Marseille Univ, CNRS, IRD, INRAE,CEREGE, Aix En Prov, France
[2] PRGeology, Paris, France
关键词
Mode I fractures; !text type='Python']Python[!/text] toolbox; Mechanical stratigraphy; Fracture stratigraphy; Interface impedance; MECHANICAL STRATIGRAPHY; FLUID-FLOW; STEP-OVER; NETWORK; CARBONATES; PROPAGATION; MODEL; CONNECTIVITY; SEDIMENTARY; THICKNESS;
D O I
10.1016/j.cageo.2024.105656
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In Naturally Fractured Reservoirs (NFR) diffuse fractures arrangement results from mechanical stratigraphy and tectonic history during failure. Thus, modelling Discrete Fracture Network (DFN) requires to understand and to account for fracture relationships at bed-interface (abutment or crosscutting) in 3D through time (loading path). However, sampling fractures data meaningfully in subsurface has always been a challenge for geologist due to data scarcity. To better understand and forecast fracture networks in stratified rocks, we study outcrops with a focus on geometric relationships between stratigraphic interfaces and fractures. This paper presents an original python toolbox called FracAbut. It is composed of 1 main and 2 auxiliary codes that quantify the geometric relation between fractures and stratigraphic interfaces from 1D (wells, scan-line) and 2D (digital image, photographs data). We calculate the Interface Impedance (II) that accounts for fracture abutment (crossing or not), persistence (single- or multi-bed) and propagation polarity (upward or downward). For each stratigraphic interface FracAbut provides information on fractures (type, number) and interface sensitivity (coupling strength). First, we apply FracAbut on synthetic case studies, then, on naturally fractured and stratified carbonates in Berat, Albania. Using both 1D scan-line and 2D outcrop photograph, we show that i) a mechanical interface can have different coupling above and below based on propagation polarity, ii) FracAbut results can give useful insight on fracture transmissivity, iii) FracAbut is fast and efficient to quantify fracture patterns and classify mechanical interface impact; iv) they are no relation between bed thickness and fracture propagation.
引用
收藏
页数:15
相关论文
共 46 条
  • [21] A Comparison of Computing Spectral Transforms of Logic Functions using Python']Python Frameworks on GPU
    Radmanovic, Milos M.
    2022 57TH INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATION, COMMUNICATION AND ENERGY SYSTEMS AND TECHNOLOGIES (ICEST), 2022, : 213 - 216
  • [22] First steps into the cloud: Using Amazon data storage and computing with Python']Python notebooks
    Pollak, Daniel J.
    Chawla, Gautam
    Andreev, Andrey
    Prober, David A.
    PLOS ONE, 2023, 18 (02):
  • [23] High-Performance Computing on Mathematical Coprocessors and Graphics Accelerators Using Python']Python
    Borzunov, S.
    Romanov, A.
    Kurgalin, S.
    Petrishchev, K.
    PHYSICS OF PARTICLES AND NUCLEI, 2024, 55 (03) : 472 - 473
  • [24] Using Python']Python and Julia for efficient implementation of natural computing and complexity related algorithms
    Dogaru, Ioana
    Dogaru, Radu
    2015 20TH INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE, 2015, : 599 - 604
  • [25] Producing climate boundary maps using GIS interface model designed with Python']Python
    Baykal, Tugba Memisoglu
    Colak, H. Ebru
    PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT, 2022, 46 (01): : 61 - 83
  • [26] pyCSAMT: An alternative Python']Python toolbox for groundwater exploration using controlled source audio-frequency magnetotelluric
    Kouadio, Kouao Laurent
    Liu, Rong
    Mi, Binbin
    Liu, Chun-ming
    JOURNAL OF APPLIED GEOPHYSICS, 2022, 201
  • [27] Work in progress: An introduction to computing course using a Python']Python-based experiential approach
    Avouris, Nikolaos
    Sgarbas, Kyriakos
    Paliouras, Vassilis
    Koukias, Michalis
    PROCEEDINGS OF 2017 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON2017), 2017, : 1663 - 1666
  • [28] Electrochemical Impedance Spectroscopy Processing and Modelling for Lithium-ion Batteries Using Python']Python and Jupiter
    Molhanec, Martin
    Knap, Vaclav
    2022 45TH INTERNATIONAL SPRING SEMINAR ON ELECTRONICS TECHNOLOGY (ISSE), 2022,
  • [29] Design and implementation of a cost-effective practical single-phase power quality analyzer using pyboard microcontroller and python']python-to-python']python interface
    Sabahi, Mehran
    Safari, Ashkan
    Nazari-Heris, Morteza
    JOURNAL OF ENGINEERING-JOE, 2024, 2024 (02):
  • [30] A Low Cost High Performance Computing Platform for Cellular Nonlinear Networks using Python']Python for CUDA
    Dogaru, Radu
    Dogaru, Ioana
    2015 20TH INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE, 2015, : 593 - 598