Characterization of the L‐1 sand using well logs and amplitude attribute analysis

Phanerozoic magmatism in the Parnaíba Basin: characterization of igneous bodies (well logs and 2D seismic sections), geometry, distribution and sill emplacement patterns

Geological Society London Special Publications ◽

10.1144/sp472.10 ◽

2018 ◽

Vol 472 (1) ◽

pp. 321-340 ◽

Cited By ~ 1

Author(s):

I. Trosdtorf ◽

J. M. Morais Neto ◽

S. F. Santos ◽

C. V. Portela Filho ◽

T. A. Dall Oglio ◽

...

Keyword(s):

Well Logs ◽

Seismic Sections ◽

Parnaíba Basin

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Characterization of Kerogen Reservoirs by Organic Richness From Well Logs: A New Approach for Gas and Condensate Reservoirs in Najmah Formation, North Kuwait

10.3997/2214-4609-pdb.170.spe125276 ◽

2009 ◽

Author(s):

Mihira N. Acharya ◽

Mishari A. Al-Awadi ◽

Saad A. Al-Ajmi ◽

Ahmad J. Al-Eidan

Keyword(s):

Well Logs ◽

New Approach

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Improved high-resolution GPR imaging and characterization of prehistoric archaeological features by means of attribute analysis

Journal of Archaeological Science ◽

10.1016/j.jas.2014.11.033 ◽

2015 ◽

Vol 54 ◽

pp. 77-85 ◽

Cited By ~ 24

Author(s):

Wenke Zhao ◽

Emanuele Forte ◽

Sara Tiziana Levi ◽

Michele Pipan ◽

Gang Tian

Keyword(s):

High Resolution ◽

Attribute Analysis

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DIFFICULTIES IN THE USE OF DFA TO CHARACTERIZE PETROLEUM RESERVOIRS

International Journal of Modern Physics C ◽

10.1142/s0129183111016117 ◽

2011 ◽

Vol 22 (02) ◽

pp. 123-131 ◽

Cited By ~ 4

Author(s):

R. A. RIBEIRO ◽

MARIA V. M. MATA ◽

K. C. O. COSTA ◽

F. W. F. SILVA ◽

L. S. LUCENA ◽

...

Keyword(s):

Detrended Fluctuation Analysis ◽

Gamma Ray ◽

Petroleum Reservoirs ◽

Oil Reservoirs ◽

Well Logs ◽

Fluctuation Analysis ◽

Oil Reservoir ◽

Detrended Fluctuation ◽

Physical Quantities

In this work we have used the Detrended Fluctuation Analysis (DFA) technique to investigate an oil reservoir. The system we address here is situated at Bacia de Namorados, RJ, Brazil. The data corresponds to well logs of five geophysical variables: sonic, porosity, electrical resistivity, gamma ray and density measured in 56 wells. The objective of this work is to analyze the correlation or similarity among the DFA index of several geophysical quantities. We perform a linear correlation test to compare pairs of DFA indices of the geophysical quantities for the well logs. We have not found a major similarity among the five variables which indicates an absence of correlation for these variables. Therefore, we argue that the DFA index should be used with caution in the characterization of oil reservoirs. In this way we suggest to integrate the information of DFA of several physical quantities to adequately model this kind of system.

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Petrophysical characterization of Albian carbonate reservoir in Campos Basin using a multivariate approach with well logs and laboratory measurements

10.22564/7simbgf2016.176 ◽

2016 ◽

Author(s):

Raphael Silva ◽

Abel Carrasquilla

Keyword(s):

Carbonate Reservoir ◽

Well Logs ◽

Multivariate Approach ◽

Laboratory Measurements ◽

Campos Basin

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Integration of NMR, Conventional Logs and Core Data to Improve Formation Evaluation of a Gas Reservoir in Kangan and Dalan Formation, Iran

Journal of Petroleum Research and Studies ◽

10.52716/jprs.v5i1.129 ◽

2014 ◽

Vol 5 (1) ◽

pp. 154-168

Author(s):

Ali Mohammad Bagheri ◽

Mohammad Mohammadnia ◽

Ghafor Karimi

Keyword(s):

Pore Size Distribution ◽

Pore Size ◽

Size Distribution ◽

Well Logs ◽

Logarithmic Mean ◽

Reservoir Properties ◽

Gas Reservoir ◽

Technical Problems ◽

Conventional Logs

Conventional log based reservoir characterization of a gas reservoir in the Kangan and Dalan formations have recently been improved by application of the nuclear magnetic resonance log (NMR). Important reservoir properties such as permeability, pore size distribution and capillary pressure curves can be estimated from NMR. These parameters are simulated directly in the laboratory on core samples recovered from the reservoir. Due to high cost associated with coring and some technical problems, few wells in any given field are cored. The only problem of NMR measurements in gas reservoirs is that in gas-bearing zones, total NMR porosity read much less than actual porosity due to low hydrogen index of the gas. This problem was solved by integration of NMR porosity with conventional well logs such as density and sonic and compared with core porosity. Improved porosity calculation lead to better core independent permeability estimation on the wells logged with NMR. NMR T2 distribution was calibrated with laboratory derived pore size distribution in 7 samples and a constant scaling factor was derived for each rock type to predict a pseudo pore size distribution from NMR. Logarithmic mean of pore size distribution in 4 wells with NMR was integrated with conventional logs in an artificial neural network to predict a pseudo pore size distribution logarithmic mean (PPSDLM) in the wells without NMR. PPSDLM and conventional well logs were involved to an electrofacies modeling to predict electrofacies in the reservoir for characterization of heterogeneity of the reservoir in 3D geological model. NMR permeability was also imported to the model as an associated log to predict facies base permeability. To test the permeability prediction, estimated permeability was compared with core derived permeability on 2 cored wells to see how well, estimated permeability fitted the actual core permeability.

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