scholarly journals Prediction Model of Total Organic Carbon Content on Hydrocarbon Source Rocks in Coal Measures Established by BP Neural Network Based on Logging Parameters

2016 ◽  
Author(s):  
Pan Wang ◽  
Wenfeng Du ◽  
Mingxing Liang ◽  
Hongwei Wang ◽  
Wenxi Wei
Keyword(s):  
Neural Network ◽  
Organic Carbon ◽  
Prediction Model ◽  
Total Organic Carbon ◽  
Carbon Content ◽  
Bp Neural Network ◽  
Source Rocks ◽  
Total Organic Carbon Content ◽  
Organic Carbon Content ◽  
Coal Measures

Estimating Total Organic Carbon Content and Source Rock Evaluation, Applying ΔlogR and Neural Network Methods: Ahwaz and Marun Oilfields, SW of Iran

2011 ◽  
Vol 29 (16) ◽  
pp. 1691-1704 ◽  
Author(s):  
H. Amiri Bakhtiar ◽  
A. Telmadarreie ◽  
M. Shayesteh ◽  
M. H. Heidari Fard ◽  
H. Talebi ◽  
...  
Keyword(s):  
Neural Network ◽  
Organic Carbon ◽  
Total Organic Carbon ◽  
Carbon Content ◽  
Source Rock ◽  
Total Organic Carbon Content ◽  
Organic Carbon Content ◽  
Network Methods ◽  
Source Rock Evaluation

Total organic carbon content prediction of source rocks with conventional well log data based on regression committee machine

2021 ◽  
Vol 14 (15) ◽  
Author(s):  
Xiaoyu Wang ◽  
Ranhong Xie ◽  
Tangyu Wang ◽  
Ruotong Liu ◽  
Liang Shao
Keyword(s):  
Organic Carbon ◽  
Total Organic Carbon ◽  
Carbon Content ◽  
Source Rocks ◽  
Total Organic Carbon Content ◽  
Organic Carbon Content ◽  
Well Log ◽  
Committee Machine ◽  
Log Data

scholarly journals Prediction of total organic carbon content in shale reservoir based on a new integrated hybrid neural network and conventional well logging curves

2018 ◽  
Vol 15 (3) ◽  
pp. 1050-1061 ◽  
Author(s):  
Linqi Zhu ◽  
Chong Zhang ◽  
Chaomo Zhang ◽  
Yang Wei ◽  
Xueqing Zhou ◽  
...  
Keyword(s):  
Neural Network ◽  
Organic Carbon ◽  
Total Organic Carbon ◽  
Carbon Content ◽  
Well Logging ◽  
Total Organic Carbon Content ◽  
Organic Carbon Content ◽  
Hybrid Neural Network ◽  
Shale Reservoir

scholarly journals Microstructural characterisation of organic-rich shale before and after pyrolysis

2014 ◽  
Vol 54 (1) ◽  
pp. 249 ◽  
Author(s):  
Yulia Uvarova ◽  
Alexey Yurikov ◽  
Marina Pervukhina ◽  
Maxim Lebedev ◽  
Valeriya Shulakova ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Total Organic Carbon ◽  
Carbon Content ◽  
Oil Recovery ◽  
Sedimentary Basins ◽  
Fracture Initiation ◽  
Source Rocks ◽  
Total Organic Carbon Content ◽  
Organic Carbon Content ◽  
X Ray

Organic-rich shales, traditionally considered as source rocks, have recently become an ambitious goal for the oil and gas industry as important unconventional reservoirs. Understanding of the initiation and development of fractures in organic-rich shales is crucially important as fractures could drastically increase the permeability of these otherwise low-permeable rocks. Fracturing can be induced by rapid decomposition of organic matter caused by either natural heating, such as emplacement of magmatic bodies into sedimentary basins, or thermal methods used for enhanced oil recovery. In this work the authors study fracture initiation and development caused by dry pyrolysis of Kimmeridge shale, which is characterised with a high total organic carbon content of more than 20%. X-ray diffraction (XRD) analysis exhibits high carbonate (both calcite and dolomite) and low clay (illite) content. Field emission gun scanning electron microscopy (FEG-SEM) shows that kerogen is presented either as a load-bearing matrix or as a filling of the primary porosity with pores being of micron size. Cylindrical samples of the Kimmeridge shale are heated up to temperatures in the range of 330–430°C. High-resolution X-ray microtomographic (micro-CT) images are obtained. The microtomographic images are processed using AVIZO (Visualization Sciences Group) to identify and statistically characterise large kerogen-filled pores and pre-existing and initiated cracks. The relationship between the total area of fractures and the temperature experienced by the sample has been obtained. Total organic carbon content is determined for samples subjected to heating experiments. This approach enables a quantitative analysis of fracture initiation and development in organic-rich shales during heating.

scholarly journals Relationship between Color CIEL∗a∗b∗ and Total Organic Carbon in Compost

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Jhon Jairo Palechor-Tróchez ◽  
Luis Eduardo Ordoñez Santos ◽  
Hector Samuel Villada-Castillo
Keyword(s):  
Organic Carbon ◽  
Total Organic Carbon ◽  
Carbon Content ◽  
Total Organic Carbon Content ◽  
Organic Carbon Content ◽  
Particle Sizes ◽  
Surface Color ◽  
Total Organic Carbon Concentration ◽  
Organic Carbon Concentration ◽  
Pearson Correlations

The CIEL∗a∗b∗ coordinates and the total organic carbon content in compost were correlated. Two particle sizes of 0.5 and 2 mm were obtained in the compost samples; the surface color was analyzed with a CIEL∗a∗b∗ colorimeter and the total organic carbon content by spectrophotometry at 588.9 nm. The results indicate that all chromaticity values were significantly affected (p<0.001) by particle size. Chromaticity values a∗, b∗, C∗, and h° showed significantly strong Pearson correlations (r>0.95). The coordinates a∗ (r=−0.992) and b∗ (r=0.968) have the potential to be used in estimating the total organic carbon concentration in the compost samples analyzed.

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