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您的检索式：作者名="Mohamed Boukhatem"
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| 1 | Lean HC gas injection pilots analysis and IPR back calculation to examine the impact of asphaltene deposition on flow performance显示文摘Gas injection is one of the most economical and effective approach to improve oil recovery.However,outcome of such approach is contingent to reservoir heterogeneities impacting gas override and fingering.Furthermore,injected fluid composition and its compatibility with the reservoir fluid potentially impact flow assurance issues such as asphaltene precipitation into the wellbore and surface facilities.The objective of this paper is to examine the lesson learnt from a couple of field scale 5 spot patterned lean hydrocarbon gas injection pilots which were deployed in a heterogeneous carbonate formation of a giant field located offshore Abu Dhabi under secondary and tertiary drive mechanisms.Said pilots provides a valuable insight on production performance,pressure support,gravity override,fluid composition and evidence of asphaltene deposition that resulted in heavy production loss prior to the solvent treatment.This paper presents the overall pilot performance including pattern recovery,fluid front movement,potential role of heterogeneity in gas breakthrough timings and the operational events to witness asphaltene deposition affecting the flow performance.The deposited asphaltene cake thickness was measured mechanically during routine tubing clearance check operation that was helpful in estimating production loss due to altered production tubing flow opening.Also an integrated approach is applied to confirm the AOP laboratory measurements with the actual deposits of asphaltene that were found in to the production tubing.In order to confirm the effect of asphaltene deposition on inflow from near wellbore formation to the wellbore,a straightforward yet innovative nodal analysis approach was applied to study well performance using the calibrated and history matched well model.It was noticed that not only the outflow was altered because of asphaltene deposition into wellbore but also the inflow(productivity index)was seriously impacted potentially due to asphaltene deposition in near wellbore formation. | Fahad I.Syed Mohamed Boukhatem Ahmed A.Al Kiyoumi | 2019 | Petroleum Research2019，4，1： | 1 |
| 2 | Service life prediction of fly ash concrete using an artificial neural network显示文摘Carbonation is one of the most aggressive phenomena affecting reinforced concrete structures and causing their degradation over time.Once reinforcement is altered by carbonation,the structure will no longer fulfill service requirements.For this purpose,the present work estimates the lifetime of fly ash concrete by developing a carbonation depth prediction model that uses an artificial neural network technique.A collection of 300 data points was made from experimental results available in the published literature.Backpropagation training of a three-layer perceptron was selected for the calculation of weights and biases of the network to reach the desired performance.Six parameters affecting carbonation were used as input neurons:binder content,fly ash substitution rate,water/binder ratio,CO_(2)concentration,relative humidity,and concrete age.Moreover,experimental validation carried out for the developed model shows that the artificial neural network has strong potential as a feasible tool to accurately predict the carbonation depth of fly ash concrete.Finally,a mathematical formula is proposed that can be used to successfully estimate the service life of fly ash concrete. | Yasmina KELLOUCHE Mohamed GHRICI Bakhta BOUKHATEM | 2021 | Frontiers of Structural and Civil Engineering2021，15，3： | 0 |
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