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Algerian, Algeria

Ouadfeul S.-A.,Algerian Petroleum Institute | Aliouane L.,University of Boumerdes
Leading Edge | Year: 2015

The behavior of fractal analysis using the continuous wavelet transform in shale-gas reservoirs is studied based on estimation of the so-called Hölder exponent by analyzing a total-organiccarbon (TOC) well log using the continuous wavelet transform; the Morlet is the analyzing wavelet. Application to the TOC well-log data of a horizontal well drilled in the Fort Worth Basin, Texas, USA, where the main objective is the lower Barnett Shale, clearly shows no special behavior of the Hölder exponents for known sweet spots. This process can be applied to other well-log data of shale-gas reservoirs to compare results and generalize a rule about the fractal behavior in shale-gas reservoirs. Source


Ouadfeul S.-A.,Algerian Petroleum Institute | Aliouane L.,University of Boumerdes
Arabian Journal of Geosciences | Year: 2013

Here, we present a new technique of noise effect attenuation in the 3D ground-penetrating radar (GPR) data analysis using the 2D directional continuous wavelet transform (DCWT). The proposed technique is based on the application of a Gaussian low pass filter to the modulus of the 2D DCWT for low scales. After application of the low pass filter, maxima of the CWT are mapped for all range of scales. Application to a noisy GPR data shows that the proposed idea can improve GPR data analysis by the continuous wavelet transform. © 2013 Saudi Society for Geosciences. Source


Ouadfeul S.-A.,Algerian Petroleum Institute | Aliouane L.,University of Boumerdes
Energy Procedia | Year: 2014

In this paper, a tentative of shale gas reservoirs characterization enhancement from well-logs data using neural network is established. The goal is to predict the Total Organic carbon (TOC) in boreholes where the TOC core rock or TOC well-log measurement does not exist. The Multilayer Perceptron (MLP) neural network with three layers is implanted. The MLP input layer is constituted with five neurons corresponding to the natural Gamma ray, Neutron porosity and sonic P and S wave slowness. The hidden layer is composed with nine neurons and the output layer is formed with one neuron corresponding to the TOC log. Application to two horizontal wells drilled in Barnett shale formation where the well A is used as a pilot and the well B is used for propagation clearly shows the efficiency of the neural network method to improve the shale gas reservoirs characterization. The established formalism plays a high important role in the shale gas plays economy and long term gas energy production. © 2014 The Authors. Source


Aliouane L.,University of Boumerdes | Ouadfeul S.-A.,Algerian Petroleum Institute
Energy Procedia | Year: 2014

Here, we present a case study of sweet spots discrimination of the Barnett shale gas reservoir located in the Ft Worth basin (USA) using seismic and well-logs data. Chaos and the ANT-Tracking seismic attributes such are used for natural fractures system identification from seismic data, the map of the Poisson's ratio obtained from the upscaling of well-logs data of a horizontal well is able to provide an information about the drilling direction which is usually in the minimum horizontal stress profile, the map of the Poisson ratio can provide an information about hardness of the source rock. The set of well logs data is used for geomechanical and petrophysical discrimination of the sweet spots, after discrimination the identified zones are useful for reserves estimation from unconventional shale gas reservoir. © 2014 The Authors. Source


Ouadfeul S.,Algerian Petroleum Institute | Aliouane L.,FHC, INC.
8th Congress of the Balkan Geophysical Society, BGS 2015 | Year: 2015

The main objective of this paper is to show the behavior of the fractal analysis using the continuous wavelet transform in shale gas reservoirs. Analysis is based on the estimation of the so-called Hölder exponent by analyzing Total Organic Carbon (TOC) well-log using the continuous wavelet transform, the Morlet is the analyzing wavelet. Application to the TOC well-log data of a horizontal well drilled in the Worth basin (USA) where the main objective is the lower Barnett clearly shows no special behavior of the Hölder exponents in case of the sweet spots. We suggest application of the whole process to other welllogs data of shale gas reservoirs to compare results and generalize a rule about the fractal behavior in shale gas reservoirs. Source

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