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Featured researches published by Meshal A. Al-Amri.


information processing and trusted computing | 2014

Uncertainty of Porosity Measurement Correlations using NMR and Conventional Logging in Carbonate Reservoirs

Hamad S. Al-Kharaa; Meshal A. Al-Amri; M. Naser; T.M. Okasha

Porosity is a dimensionless parameter, defined as the ratio of pore volume filled with fluid to the bulk volume. Porosity is a critical volumetric parameter used to estimate the reserve for a given reservoir and it can be used as an input for reservoir simulation as well. In addition, porosity can be classified into two types, effective porosity (interconnected pores) and total porosity (connected and isolated pores). Total porosity is defined as the sum of effective porosity and clay bound water (CBW). In other words, total porosity obtained from conventional logging tools will be equal to effective porosity in the absence of clay and while it is not the case when clay is present. There are several methods used to estimate porosity of the formation. These include: measuring actual porosity in the core laboratory, computerized tomography (CT) scan, neutron-density logging, sonic tools, and NMR logging tools. All conventional logging tools (neutron-density and sonic logging tools) are strongly dependent on lithology, whereas NMR logging tool is independent of lithology. The NMR logging the most accurate compared to all other methods since it is independent of the reservoir lithology. It can be used to estimate the reservoir porosity directly without the knowledge of matrix lithology. On the other hand, conventional logging such as neutron-density and acoustic depend strongly on lithology which might yield incorrect porosity measurement. Several studies have been conducted to estimate porosity for both sandstone and carbonate reservoirs using different logging tools, however, determining porosity is a challenge in 2 IPTC 17260 complex and unconventional lithologies. In sandstone, the presence of shale and clay minerals will affect the response of all porosity tools. Carbonate is even more complicated than sandstone due to its heterogeneity and triple porosity system (pores, vugs, and fractures). In addition, the assessment of porosity measurements accuracy using NMR logging will be considered in this study. An attempt will be made to develop an empirical correlation from NMR data to obtain reliable porosity estimation. In this work, more than hundred NMR reading tool were used to develop empirical correlations to estimate the free fluid (FFI) and Clay bound Water (CBW) for Arab D reservoir. This can be used as a checking parameter for the used cutoff values by the service company to ensure full compliance with the measured values in the laboratory. The correlations also will optimize the logging tool time and reduce the operation cost. Results of pre-study (SPE-168110) showed that a clear criterion to divide the formations into dolomitic and clean formation (pure limestone) should be established to get more accurate result. In the dolomitic formation, correlations for CBW showed R of 0.96 and for FFI R is 0.99.In addition, in clean formation, correlations showed for CBW is R of 0.98 and for FFI R is 0.99.


Sats | 2013

Assessment of Uncertainty in Porosity Measurements Using NMR and Conventional Logging Tools in Carbonate Reservoir

Hamad S. Kharraa; Meshal A. Al-Amri; Mahmoud; T.M. Okasha


SPE Kuwait International Petroleum Conference and Exhibition | 2012

Real-Time Estimation of Well Drainage Parameters

Meshal A. Al-Amri; Faisal T. Al-Khelaiwi; Mohammad S. Al Kadem


Journal of African Earth Sciences | 2017

Integrated petrophysical and reservoir characterization workflow to enhance permeability and water saturation prediction

Meshal A. Al-Amri; Mohamed Mahmoud; Salaheldin Elkatatny; Hasan Y. Al-Yousef; Tariq M. AlGhamdi


SPE Middle East Intelligent Oil and Gas Conference and Exhibition | 2015

Assessment of Production Engineering Workflows for Saudi Aramco Production Operations Surveillance Hub (POSH)

Faisal T. Al-Khelaiwi; Meshal A. Al-Amri; Nami Al-Amri; Majed A. Al-Awajy; Ali Ahmed Jama


information processing and trusted computing | 2014

Effective Utilization of Smart Oil Fields Infrastructure towards Optimal Production and Real Time Reservoir Surveillance

Karam Sami Al-yateem; Meshal A. Al-Amri; Rabea Ahyed; Fred Aminzadeh; Ahmed Althukair; Faisal T. Al-Khelaiwi


information processing and trusted computing | 2014

Multiphase Flow Meters Trial Testing in High GOR/GVF Environment

Ahcene Nasri; Abdulaziz Al-Anizi; Meshal A. Al-Amri; Faisal T. Al-Khelaiwi; Ammal Fannoush Al-Anazi


information processing and trusted computing | 2014

Intelligent-Field Technologies on a Mass Scale: Change for Efficiency Improvement

Faisal T. Al-Khelaiwi; Marwan Zarea; Mohammad N. Al-Khamis; Abdulrahman Ahmed Al-Ghamdi; Meshal A. Al-Amri


information processing and trusted computing | 2014

MPFM Accuracy Enhancements in a Scale Precipitation Environment: Lessons Learned and Guidelines

Ahcene Nasri; Meshal A. Al-Amri; Waleed Abd Al-Isawi; Mohammad S. Al-Kadem


SPE Kuwait Oil and Gas Show and Conference | 2013

New Workflow for Scale Precipitation in Production Equipment Resulting from Formation and Injected Water Incompatibility: Field Case

Faisal Mohammed Al-Arji; Meshal A. Al-Amri

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