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Evaluation of influential parameters for supersonic dehydration of natural gas: Machine learning approach

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Petroleum Research 2022年第03期 372-383页

作者： Emmanuel E.Okoro uyiosa igbinedion Victor Aimikhe Samuel E.Sanni Okorie E.Agwu Department of Petroleum and Gas Engineering University of Port Harcourt Department of Petroleum Engineering Covenant University Department of Chemical Engineering Covenant University Department of Petroleum Engineering University of Uyo

The supersonic dehydration of natural gas is gaining more attention due to its numerous advantages over the conventional natural gas dehydration technologies. However, supersonic separators have seen minimal field applications despite the multiple benefits over other gas dehydration techniques. This has been mostly attributed to the uncertainty in ascertaining the design and operating parameters that should be monitored to ensure optimum dehydration of the supersonic separation device. In this study,the decision tree machine learning model is employed in investigating the effects of design and operating parameters(inlet and outlet pressures, nozzle length, throat diameter, and pressure loss ratio) on the supersonic separator performance during dehydration of natural gas. The model results show that the significant parameters influencing the shock wave location are the pressure loss ratio and nozzle length. The former was found to have the most significant effect on the dew point depression. The dehydration efficiency is mainly dependent on the pressure loss ratio, nozzle throat diameter, and the nozzle length. Comparing the machine learning model-accuracy with a 1-D iterative model, the machine learning model outperformed the 1-D iterative model with a lower mean average percentage error(MAPE) of 5.98 relative to 15.44 as obtained for the 1-D model.

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Pavement sustainability index for highway infrastructures： A case study of Maryland

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Frontiers of Structural and Civil Engineering 2018年第2期12卷 192-200页

作者： Stella O. OBAZEE-igbinedion Oludare OWOLABI Montgomery County Department of Transportation 100 Edison Park Drive Gaithersburg MD 20878 USA Department of Civil Engineering Morgan State University 1700 East Cold Spring Lane Baltimore MD 21251 USA

Pavement deterioration creates conditions that undermine their performances, which gives rise to the need for maintenance and rehabilitation. This paper develops a mathematical multi-linear regression analysis （MLRA） model to determine a pavement sustainability index （PSTI） as dependent variable for flexible pavements in Maryland. Four categories of pavement performance evaluation indicators are subdivided into seven pavement condition indices and analyzed as independent variables for each section of pavement. Data are collected from five different roadways using field evaluations and existing database. Results indicate that coefficient of determination （R^2） is correlated and significant, R^2 = 0.959. Of the seven independent variables, present serviceability index （PSI） is the most significant with a coefficient value of 0.032, present serviceability rating （PSR） coefficient value=0.028, and international roughness index （IRI） coefficient value = -0.001. Increasing each unit value of coefficients for PSI and PSR would increase the value of PSTI; thereby providing a more sustainable pavement infrastructure; which explains the significance of the model and why IR/ will most likely impact environmental, economic and social values.

关键词： pavement indices sustainability pavement performance flexible pavements

Predicting the effects of selected reservoir petrophysical properties on bottomhole pressure via three computational intelligence techniques

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Petroleum Research 2023年第1期8卷 118-129页

作者： Emmanuel E.Okoro Samuel E.Sanni Tamunotonjo Obomanu Paul igbinedion Department of Petroleum Engineering University of Port HarcourtRivers StateNigeria Department of Chemical Engineering Covenant UniversityOtaNigeria Department of Petroleum Engineering Federal Polytechnic of Oil and GasBonny IslandNigeria Department of Petroleum Engineering Covenant UniversityOtaNigeria

This study investigates the effects of selected petrophysical properties on predicting flowing well bottomhole *** efficiently situate the essence of this investigation,genetic,imperialist competitive and whale optimization algorithms were used in predicting the bottomhole pressure of a reservoir using production data and some selected petrophysical properties as independent input variables.A total of 15,633 data sets were collected from Volvo field in Norway,and after screening the data,a total of 9161 data sets were used to develop apt computational intelligence *** data were randomly divided into three different groups:training,validation,and testing *** case scenarios were considered in this *** first scenario involved the prediction of flowing bottomhole pressure using only eleven independent variables,while the second scenario bothered on the prediction of the same flowing bottomhole pressure using the same independent variables and two selected petrophysical properties(porosity and permeability).Each of the two scenarios involved as implied in the first scenario,the use of three(3)heuristic search optimizers to determine optimal model *** optimizers were allowed to choose the optimal number of layers(between 1 and 10),the optimal number of nodal points(between 10 and 100)for each layer and the optimal learning rate required per task/*** results,showed that the models were able to learn the problems well with the learning rate fixed from 0.001 to 0.0001,although this became successively slower as the leaning rate *** the chosen model configuration,the results suggest that a moderate learning rate of 0.0001 results in good model performance on the trained and tested data *** the three heuristic search optimizers based on minimum MSE,RMSE,MAE and highest coefficient of determination(R^(2))for the actual and predicted values,shows that the imperialist competitive algorithm optimizer predicted

关键词： Computational intelligence Bottomhole pressure Petrophysical properties Heuristic search optimizer Volvo field data

Application of artificial intelligence in predicting the dynamics of bottom hole pressure for under-balanced drilling:Extra tree compared with feed forward neural network model

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Petroleum 2022年第2期8卷 227-236页

作者： Emmanuel E.Okoro Tamunotonjo Obomanu Samuel E.Sanni David I.Olatunji Paul igbinedion Petroleum Engineering Department Covenant UniversityOtaNigeria Petroleum Engineering Department Federal Polytechnic of Oil and GasBonnyNigeria Chemical Engineering Department Covenant UniversityOtaNigeria

This study used six fields data alongside correlation heat map to evaluate the field parameters that affect the accuracy of bottom hole pressure(BHP)*** six oil field data were acquired using measurement while drilling device to collect surface measurements of the downhole pressure data while *** the two case studies,measured field data of the wellbore filled with gasified mud system was utilized,and the wellbores were drilled using rotary jointed drill *** Randomized Tree and feed forward neural network algorithms were used to develop models that can predict with high accuracy,BHP from measured field *** modeling purpose,an extensive data from six fields was used,and the proposed model was further validated with two data from two new *** gathered data encompasses a variety of well data,general information/data,depths,hole size,and *** developed model was compared with data obtained from two new fields based on its capability,stability and *** result and model’s performance from the error analysis revealed that the two proposed Extra Tree and Feed Forward models replicate the bottom hole pressure data with R2 greater than *** high values of R^(2) for the two models suggest the relative reliability of the modelling *** magnitudes of mean squared error and mean absolute percentage error for the predicted BHPs from both models range from 0.33 to 0.34 and 2.02%-2.14%,for the Extra tree model and 0.40-0.41 and 3.90%e3.99%for Feed Forward model respectively;the least errors were recorded for the Extra Tree ***,the mean absolute error of the Extra Tree model for both fields(9.13-10.39 psi)are lower than that of the Feed Forward model(10.98-11 psi),thus showing the higher precision of the Extra Tree model relative to the Feed Forward *** has shown that underbalanced operation does not guarantee the improvement of horizontal well’s extension ability,because it mainly depends on t

关键词： Artificial intelligence Bottom hole pressure Extra tree Predictive model Oil and gas Feed forward algorithms

Artificial intelligence model for predicting geomechanical characteristics using easy-to-acquire offset logs without deploying logging tools

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Petroleum 2022年第2期8卷 192-203页

作者： Temitope F.Ogunkunle Emmanuel E.Okoro Oluwatosin J.Rotimi Paul igbinedion David I.Olatunji Department of Petroleum Engineering Covenant UniversityOtaNigeria

This study focuses on predicting acoustic and mechanical rock properties using random forest and feed forward neural network models to evaluate the likelihood of developing efficient ways of handling absence of rock properties at offset *** Random Forest algorithm was used for direct prediction of the sonic data without considering the depth range of the facies;while Feed forward Neural network was used to predict the sonic data with emphasis on the lithofacies *** accuracy of these approaches was used in choosing the best and the most robust model for predicting sonic data when estimating formation strength and mechnical *** log was predicted after training a combination of caliper log,gamma log,depth,density log and resistivity log from offset wells.5 hidden layers that accounts for the data structural complexities was included in the model architecture.A multilayer perceptron network was adopted for the Random forest algorithm to handle linear combinations of input data *** error computations were used to evaluate the performance of the ***,mechanical properties and sanding potential was evaluated using standard relations and appropriate depositional *** forest algorithm gave the best prediction accuracy of more than 96%,but the Feed forward network has the lower mean absolute error and mean squared error of 2.75 and 5.93 ***,the predicted compressive and shear wave velocity show increase of values with depth,a behavior that is capable of identifying payzone *** was validated by the distinction seen within the 200 feet gas sand formation in the deeper portion of the studied well(9600e9800 feet).Potential failure portions of the wells,a common feature in the field,were inferred from the sanding potential computed using the predicted mechanical properties value.

关键词： Shear wave velocity Mechanical properties Random forest Feed forward neural network Sanding potential

Non-celiac gluten sensitivity: All wheat attack is not celiac

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World Journal of Gastroenterology 2017年第40期23卷 7201-7210页

作者： Samuel O igbinedion Junaid Ansari Anush Vasikaran Felicity N Gavins Paul Jordan Moheb Boktor Jonathan S Alexander Department of Internal Medicine Louisiana State University Health Sciences Center Department of Molecular and Cellular Physiology Louisiana State University School of Medicine Department of Gastroenterology and Hepatology Louisiana State University Health Sciences Center

Currently,1% of the United States population holds a diagnosis for celiac disease(CD),however,a more recently recognized and possibly related condition,"non-celiac gluten sensitivity"(NCGS)has been suggested to affect up to 6%of the United States *** reliable clinical tests for CD exist,diagnosing individuals affected by NCGS is still complicated by the lack of reliable biomarkers and reliance upon a broad set of intestinal and extra intestinal symptoms possibly provoked by *** has been proposed to exhibit an innate immune response activated by gluten and several other wheat *** present,an enormous food industry has developed to supply gluten-free products(GFP)with GFP sales in 2014 approaching$1 billion,with estimations projecting sales to reach$2 billion in the year *** enormous demand for GFP also reflects a popular misconception among consumers that gluten avoidance is part of a healthy lifestyle *** of NCGS and other gluten related disorders(e.g.,irritable bowel syndrome)call for a review of current distinctive diagnostic criteria that distinguish each,and identification of biomarkers selective or specific for *** aim of this paper is to review our current understanding of NCGS,highlighting the remaining challenges and questions which may improve its diagnosis and treatment.

关键词： Non-celiac gluten sensitivity Celiac disease Gluten Wheat Gluten related disorder Gluten free diet

Evaluation of Antiplasmodial Effect of Methanol Leaf Extract and Fractions of Eucalyptus camadulensis (Denhn) in Albino Wistar Mice

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American Journal of Plant Sciences 2023年第6期14卷 662-676页

作者： Amarachi Akachukwu Moses Ikegbunam Emmanuel Enyi Theresa Osarunwese Ifeyinwa Onochie-igbinedion Harrison Abone Dorothy Ezeagwuna Joy Nnanna Chibueze Ihekwereme Chukwuemeka Nworu Department of Pharmacology and Toxicology Nnamdi Azikiwe University Awka Nigeria Department of Pharmaceutical Microbiology and Biotechnology Nnamdi Azikiwe University Awka Nigeria Molecular Research Foundation for Students and Scientists Nnamdi Azikiwe University Awka Nigeria Department of Parasitology and Entomology Nnamdi Azikiwe University Awka Nigeria Department of Pharmacology and Toxicology University of Nigeria Nsukka Nigeria

Nigeria is one of the malaria-endemic countries, where the treatment of malaria has relied heavily on natural and traditional medicines. This study was designed to investigate and ascertain the preference of Eucalyptus camaldulensis in treating malaria using three standard models among local herbalists. Extraction was carried out on the leaves of Eucalyptus camadulensis using methanol. The methanol crude extract and other solvent fractions obtained were used for analysis. An acute toxicity test (LD50) was carried out using Lorke’s Method. The extract and its fractions were screened for phytochemical constituents using standard procedures. Different doses of the methanol crude extract (250 mg/kg, 500 mg/kg, and 1000 mg/kg) and other solvent fractions (250 mg/kg, 500 mg/kg) were assessed for their antiplasmodial property using the Suppressive, Curative, and Prophylactic models on different days. One hundred and eighty grams (18% w/w) of the extract were recovered from 1000 g of powdered leaves. The weight of fractions and their yields calculated from 50 g crude extract are n-hexane fraction (3.45 g, 6.9%), ethylacetate fraction (11.65 g, 23.3%), and butanol (7.84 g, 15.68%). The result of the acute toxicity test showed that the lethal dose of the plant was above 5000 mg/kg. For the crude extract, the 1000 mg/kg dose had the highest percentage of parasitemia suppression of 97.3%, 95.30%, and 75.97% in the curative, suppressive, and prophylactic models, respectively. The fractions exhibited a significant chemosuppressive effect when compared with the negative control, with the butanol fraction (500 mg/kg) showing a higher percentage suppression. The findings in this study justify the use of this plant in traditional medicine for the management of malaria fever and tally with its folkloric use. However, more research is needed to establish the functions of the constituents in relation to antiplasmodial activity.

关键词： Eucalyptus camadulensis Antiplasmodial

The Prevalence of Dengue Virus and Malaria Co-Infection among HIV-Infected Patients within South Eastern Nigeria

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Advances in Infectious Diseases 2022年第1期12卷 106-117页

作者： Onochie-igbinedion Ifeyinwa Theresa Osarumwense Ikegbunam Moses Nkechukwu Ekpunobi Nzube Favour Ibeagha Izuchukwu Chukwuma Okechukwu George Adikwu Micheal Umale Esimone Charles Okechukwu Department of Pharmaceutical Microbiology and Biotechnology Nnamdi Azikiwe University Awka Nigeria Molecular Research Foundation for Students and Scientists Nnamdi Azikiwe University Awka Nigeria University of Nigeria Teaching Hospital Ituku-Ozalla Enugu Nigeria APIN Public Health Initiative Makurdi Benue State Nigeria Medical Laboratory Science Department Nnamdi Azikiwe University Nnewi Nigeria Department of Pharmaceutics University of Nigeria Nsukka (UNN) Nsukka Enugu Nigeria

Background: Dengue and malaria are infections of great public health concern, especially in tropical countries like Nigeria where the burden of HIV infection is high. This study was conducted to determine the seroprevalence of dengue virus and dengue/malaria coinfection among febrile HIV-infected patients attending the University of Nigeria Teaching Hospital and Nnamdi Azikiwe University teaching university both in the southeastern region of Nigeria. Methods: In this cross-sectional study, blood samples from 338 consenting HIV-infected patients were collected and tested for plasmodiasis and DENV using malaria microscopy and ELISA, respectively. Interviewer-based questionnaires were used to assess subjects’ sociodemographic variables and dengue risk factors. This study was conducted within the peak period of the dry season (January-February 2016). Results: Of the 338 screened participants, 13.02% were seropositive for DENV, whereas 55.8% were positive for Plasmodium spp. About 2.7% were positive for both dengue virus and Plasmodium spp. The overall seroprevalence of dengue virus by NS1 antigenemia, IgM and IgG antibodies was 9.5%, 5.6% and 8%. Conclusion: The high prevalence of malaria and DENV indicates the need to strengthen vector control and dengue surveillance programs.

关键词： Dengue Malaria Coinfection Seroprevalence Southeast Nigeria

HIV-1 RNA Viral Load, CD4 Count and Some Haematological Parameters of People Living with HIV in the Enugu Metropolis

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World Journal of AIDS 2023年第2期13卷 57-69页

作者： Izuchukwu Ibeagha Evelyn Ada Kyrian-Ogbonna Felix Emelike Ekene Ibeagha Emmanuel Enyi Theresa Osarunwese Ifeyinwa Onochie-igbinedion Harrison Abone Dorothy Ezeagwuna Chinwe Chukwuka Moses Ikegbunam Anti-Retroviral Therapy (ART) Laboratory University of Nigeria Teaching Hospital Ituku Enugu Nigeria APIN Public Health Initiative Makurdi Nigeria Department of Applied Microbiology and Brewing Nnamdi Azikiwe University Awka Nigeria Medical Laboratory Department Ambrose Alli University Ekpoma Nigeria Center for Clinical Care and Clinical Research of Nigeria (CCRN) Makurdi Nigeria Department of Pharmaceutical Microbiology and Biotechnology Nnamdi Azikiwe University Awka Nigeria Department of Parasitology and Entomology Nnamdi Azikiwe University Awka Nigeria Molecular Research Foundation for Students and Scientists (MRFSS) Nnamdi Azikiwe University Awka Nigeria

Background: It is widely known that the human immune-deficiency virus (HIV) induces biochemical and physiological changes in affected persons. Consequently, the overall aim of this study was to evaluate the HIV-1 RNA viral load, CD4 count, and certain haematological parameters among HIV treatment-na?ve subjects in the Enugu metropolis of Nigeria. Materials and Methods: A total of 252 HIV-infected, ART-native subjects (≥18) attending the University of Nigeria Teaching Hospital (UNTH) in Ituku-Ozalla, Enugu were recruited for this study and were made up of 157 (62.3%) females and 95 (37.7%) males. A total of 250 HIV-negative subjects were used as control subjects (100 males and 150 females). Blood samples were collected from all the participants and their HIV-1 status was confirmed by an immunoblot confirmatory test. Their haematological parameters and CD4 count were evaluated, while the HIV-1 viral load was only assessed on confirmed HIV-positive subjects. Results: There was female predominance (62.3%) among these HIV-positive subjects. The mean age of HIV-positive subjects was 39.16 ± 10.08 years while the mean age of the control subjects was 34.8 ± 8.6 years. The age group of 31 - 40 years (102/252 (40.5%)) constituted most of the test subjects. The total white blood cells (TWBC) (6.05 ± 5.46), lymphocyte counts (36 ± 14), haemoglobin concentrations (Hb) (9.85 ± 7.36) and the CD4 counts (242 ± 228) of the HIV-infected subjects showed a significant difference when compared with their control counterpart values of TWBC (4.5 ± 0.568), lymphocytes (39.67 ± 8.2), Hb (13.48 ± 1.5), and CD4 counts (807 ± 249) (p 0.05). Anaemia, lymphocytopenia, and thrombocytopenia were the haematological abnormalities seen in the HIV-positive subjects. HIV viral load correlated with haemoglobin concentration, CD4 count, lymphocyte count, and neutrophil count (p Conclusion: Prognostic factors, such as haemoglobin concentrations, CD4 counts, lymphocyte counts, and neutrophil counts can be

关键词： HIV-1 RNA CD4 Count Haematological Parameters