Perturbed hard chain theory for fluid mixtures: Thermodynamic properties for mixtures in natural gas and petroleum technology
Perturbed‐hard‐chain theory for pure fluids, proposed previously by Beret, is modified slightly to yield better pure‐component results. More important, it is extended to multicomponent mixtures.
The perturbed‐hard‐chain theory is a synthesis of the polymer solution theories of Flory and Prigogine and the perturbed‐hard‐sphere theories of Alder and Barker and Henderson. The resulting equation of state is applicable to simple as well as complex molecules (for example, heptane, naphthalene, polystyrene). It can be used to calculate both gas and liquid phase properties. Extension of perturbed‐hard‐chain theory to mixtures is based on a one‐fluid model without, however, making the usual assumption of random mixing.
The perturbed‐hard‐chain theory has been applied to most fluids commonly encountered in natural‐gas and petroleum refining operations. The theory gives good agreement with experiment for pure‐component and fluid‐mixture properties including vapor pressures, liquid densities, enthalpies, and K factors. Molecular parameters have been obtained for forty‐five pure components and for more than sixty binary mixtures. Ternary and higher mixtures require no additional parameters.
 Motivation And Attitudes Towards Learning English: A Study Of Petroleum Engineering Undergraduates At Hadhramout University Of Sciences And Technology
This paper outlines the results of a survey which was carried out, to identify PetroleumEngineering students’ motivation and attitudes towards learning the English language.The study investigated students’ motivation in terms of three motivational constructs:instrumental motivation, integrative motivation and personal motivation based onGardner’s (1985) and Cooper and Fishman’s (1977) works. Learners’ attitudes, on theother hand, regarding 1) the use of English in the Yemeni social context, 2) the use ofEnglish in the Yemeni educational context, 3) the English language and 4) the culture ofthe English speaking world were identified. The study sample consisted of 81 petroleumengineering students at Hadhramout University of Sciences and Technology (HUST). Aquestionnaire and interviews were used for data collection. For the students’ motivation,the findings showed the subjects’ greater support of instrumental reasons for learning theEnglish language including utilitarian and academic reasons. Personal reasons were alsoregarded as important motives by the students. However, regarding the integrativereasons, the results provided evidence that learning English as a part of the culture of itspeople had the least impact in students’ English language motivation. On the other hand,data for the students’ attitudes revealed that most of students had positive attitudestowards the social value and educational status of English. In addition, the findingsshowed the students’ positive orientation toward the English language. Interestinglyenough, the results indicated that a high number of the students showed their interest inthe culture of the English speaking world as represented by English-language films.Finally, some pedagogical implications that would help tap the students’ motivation andattitudes were presented.
 Recent Developments in Application of Artificial Intelligence in Petroleum Engineering
With the recent interest and enthusiasm in the industry toward smart wells, intelligent fields, and real-time analysis and interpretation of large amounts of data for process optimization, our industry’s need for powerful, robust, and intelligent tools has significantly increased. Operations such as asset evaluation; 3D- and 4D-seismic-data interpretation; complex multilateral-drilling design and implementation; log interpretation; building of geologic models; well-test design, implementation, and interpretation; reservoir modeling; and simulation are being integrated to result in comprehensive reservoir management. In recent years, artificial intelligence (AI), in its many integrated flavors from neural networks to genetic optimization to fuzzy logic, has made solid steps toward becoming more accepted in the mainstream of the oil and gas industry. In a recent set of JPT articles, fundamentals of these technologies were discussed. This article covers some of the most recent and advanced uses of intelligent systems in our industry and discusses their potential role in our industry’s future.
 Effect of Chronic Exposure to Petroleum Hydrocarbon Pollution on Renal and Some Haematological Parameters of the Native Fowl (Gallus domesticus)
Aims: To investigate the effect of chronic exposure to petroleum hydrocarbon pollution on renal and some haematological parameters of the native fowl (Gallus domesticus), reared in an environment known to be polluted with petroleum hydrocarbon.
Study Design: Randomized controlled animal experiment using twenty-four male native fowls (12 each from the experimental areas).
Place and Duration of Study: Department of Biochemistry, Federal University of Technology, Owerri, Nigeria, between November 2009 and November 2010.
Methodology: Standard methods for haematological and renal function assessment were adopted.
Results: The study showed that there was no significant (p>0.05) difference in the electrolyte concentrations (K+ and HCO3– ions ) in the serum of fowls from both environments, but a significant decrease (p>0.05) in Na+ and Cl– ion concentrations in the serum of fowls from Mbaise when compared to those from Egbema. The effect of the pollution significantly (p<0.05) reduced serum concentrations of total bilirubin, urea and creatinine. The haematological parameters: [white blood cell (wbc) and red blood cell (rbc) counts were significantly (p<0.05) affected, percentage haemoglobin (Hb) and haemoglobin/ methaemoglobin (Hb/metHb) ratio] were not significantly (p>0.05) affected.
Conclusion: Petroleum hydrocarbon pollution is suggested to possess the potential to affect certain haematological parameters, total bilirubin and renal function.
 Research Issues on Geovisual Analytics for Petroleum Data Management
The visual and interaction tools are useful in providing decision-makers with a comprehensive overview of multifaceted information gathered from multiple sources. Petroleum Data Management (PDM) is getting more complex due to the diversity in data providers as well as multiple sources, such as well logs, seismic sections, GIS databases, subsurface 3D cross-sections and other forms of technical reports. This research attempts to introduce Geovisual Analytics as a suitable interactive approach for petroleum exploration decision support. The paper will overview research issues and provide implicit insight on research agenda in this important earth science domain.
 Donohue, M.D. and Prausnitz, J.M., 1978. Perturbed hard chain theory for fluid mixtures: thermodynamic properties for mixtures in natural gas and petroleum technology. AIChE Journal, 24(5), pp.849-860.
 Al-Tamimi, A. and Shuib, M., 2009. Motivation and attitudes towards learning English: A study of petroleum engineering undergraduates at Hadhramout University of Sciences and Technology. GEMA Online® Journal of Language Studies, 9(2).
 Saputelli, L., 2016. Technology focus: Petroleum data analytics. Journal of Petroleum Technology, 68(10), pp.66-66.
 Nwaogu, L.A. and Onyeze, G.O.C., 2014. Effect of chronic exposure to petroleum hydrocarbon pollution on renal and some haematological parameters of the native fowl (Gallus domesticus). Current Journal of Applied Science and Technology, pp.4026-4034.
 Abdalla, R., 2018, November. Research Issues on Geovisual Analytics for Petroleum Data Management. In Conference of the Arabian Journal of Geosciences (pp. 185-187). Springer, Cham.