Hasil untuk "Oils, fats, and waxes"

Ly Sao Thi, Ha Anh Cam, Le Ha Vu et al.

Background: This study aimed to optimize the synthesis conditions for solid lipid nanoparticles (SLNs) loaded with Calophyllum inophyllum L. (tamanu) oil, a natural extract known for its anti-inflammatory, antimicrobial, and wound-healing properties. Methods: SLNs were prepared using a hot homogenization–ultrasonication–cold homogenization method, and various formulation parameters were systematically evaluated, including the type and concentration of solid lipids, hydrophilic–lipophilic balance (HLB) of surfactants, sonication power, and homogenization speeds. Results: Among the tested lipids, Naterol® SE produced stable SLNs and was selected for further optimization. Response Surface Methodology (RSM) with a Central Composite Design (CCD) was applied to model the effects of four key factors—HLB value, sonication power, hot homogenization speed, and cold homogenization speed—on particle size and polydispersity index (PDI). The optimized formulation achieved a mean particle size of 148.7 ± 1.39 nm and a PDI of 0.30, with spherical morphology confirmed by SEM and good physical stability under different storage conditions. Objectives: These findings demonstrate that the optimized tamanu oil-solid lipid nanoparticles (TO-SLNs) possess favorable physicochemical characteristics, offering strong potential as a topical nanocarrier system for skin repair and regeneration applications.

方振，李谷成 FANG Zhen， LI Gucheng

旨在为挖掘油菜籽增产潜力、提升油料产能和自给率等政策制定提供参考，从我国油菜生产现状、发展成就与发展趋势出发，探讨了油菜籽增产潜力及制约因素，并提出了油菜籽增产的实现路径。研究认为，油菜籽增产潜力主要表现在三个方面：油菜分布范围广，区域适应性强；油菜与粮食作物争地矛盾小，扩种潜力大；油菜籽单产和含油量水平有较大的提升空间。发挥油菜籽增产潜力必须采取强有力的措施，具体实现路径包括：科学规划油菜产业短期和长期目标;在全国一盘棋全局观下优化油菜生产区域布局;千方百计控制油菜生产成本并降低油菜生产风险和难度;建立稳定的油菜育种创新长效机制;推动油菜规模化、产业化和数字化发展;加快完善和实施油菜产业支持政策。In order to provide reference for policy formulation such as exploring the potential for increasing rapeseed yield, improving oilseed production capacity and self-sufficiency rate, starting from the current production situation, development achievements, and development trends of rapeseed in China, the potential for rapeseed yield increase and its limiting factors were explored, and a path for achieving rapeseed yield increase was proposed. The study believed that the potential for increasing rapeseed yield mainly manifested in three aspects: wide distribution range and strong regional adaptability of rapeseed; small conflict between rapeseed and food crops for land and great potential for seed expansion; significant room for improvement in per unit yield and oil content levels of rapeseed. To unleash the potential of rapeseed yield increase, strong measures must be taken, and the implementation paths include scientifically planning short-term and long-term goals for the rapeseed industry; optimizing the regional layout of rapeseed production under the overall view of the national "one game" strategy; making every effort to control the cost and reduce the risks and difficulties of rapeseed production; establishing a stable long-term mechanism for rapeseed breeding innovation; promoting the scale, industrialization, and digital development of rapeseed; accelerating the improvement and implementation of rapeseed industry supporting policies.

Beatriz Lemos, Alessandra Winter, Erika Blini et al.

The enhanced oil recovery method by low-salinity water flooding in sandstones has had promising results. When two immiscible phases are in contact with a solid surface, one is generally more strongly attracted by the solid than the other, called the wetting phase. The ability of different polar compounds to change the rock wettability depends on the rock type. In sandstone reservoirs, the electrostatic attraction between the positively charged surface of the oil and the negatively charged basal plans of the rock controls the oil adhesion on the rock surface. It is well known that typically lowering the injection brine salinity can enhance oil recovery, however, the effects of low-salinity water injection in sandstones are probably the result of several mechanisms acting in conjunction, highlighting the need to execute experimental tests. Moreover, this study aimed to evaluate the effect of brines with different compositions and salinity on the oil recovery factor of reservoir sandstone cores by carrying out core flooding experiments. In addition, reservoir cores were very friable, so sandpacks were produced to facilitate manipulation and make it possible to carry out the water flooding tests. Furthermore, they were used in four core flooding tests. Also, results indicated a potential low-salinity water effect, with an average incremental oil recovery of around 5.8%. The injectivity was analyzed using differential pressure during the experiments, and significant alterations were not observed due to the change in salinity of injected brines. Ultimately, the mineralogical analysis suggests that even sandstones with no clay content might show additional oil recovery due to low-salinity water injection, bespeaking the need to conduct more experiments for further investigation of the impact of the injected brine, the mineralogical composition of the rocks and the acting mechanisms.

Yahbi Mohammed, Keli Abdelhafid, El Alami Nabila et al.

Rapeseed meal (RSM) is known for its high nutritional quality as animal feed. However, there has been little studies on the effect of nitrogen fertilization on RSM chemical composition, mainly neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), and ash content. Therefore, this study was carried out to evaluate the effect of nitrogen application rate on chemical composition of RSM in interaction with different spring rapeseed varieties (Brassica napus L). A field experiment was conducted during 2018/19 cropping season at the experimental station of the Ecole Nationale d’Agriculture de Meknès” according to a split-plot design with three replications, using six nitrogen application rates, as main plot, and six rapeseed varieties, as subplot. After seeds harvest and oil extraction, meals derived from the different treatments were used in this study. Results showed that increasing nitrogen rate from 0 to 120 kg N ha−1 led to a significant rise in meal yield up to 74.58%. A positive effect of nitrogen fertilization was observed on dry matter, protein content and ash content, recording the highest values at 120 kg N ha−1 treatment. However, cellulose and lignin content were affected negatively by nitrogen fertilization. The nitrogen supply of 150 kg N ha−1 resulted in a reduction of ADF and ADL contents by 23% and 28%, respectively, compared to the unfertilized control (N0). Variability within rapeseed varieties for all parameters except dry matter and ADL content was highlighted.

Jose Henrique Rodrigues da Rocha, Julio Gabriel de Falco Manuel, Antonio Jose Faria Bombard

Magnetorheological fluids (MRF) are smart composite materials that, under an external magnetic field, show a reversible solid-liquid transition in less than 10 ms. This study aimed to evaluate which organoclays would jellify a synthetic oil for the formulation of MRF. Three dispersant additives for carbonyl iron powder were evaluated. Fifteen different gelling additives from four clay families, bentonites, hectorites, montmorillonites, and mixed mineral thixotropes (MMT), were dispersed in oil only, keeping the same concentration, without iron particles. The gels were then tested through amplitude and frequency sweeps in oscillatory rheometry to evaluate their viscoelastic behavior. All the MRFs were prepared using carbonyl iron powder HS in oil gels with the same organoclay. All three dispersant additives showed a thixotropic recovery above 100% in the three-interval test. Regarding the dispersibility after one year, the MRF formulations with octan-1-amine and lecithin were reproved, as they reached normal force peaks of 19 and 24 N, while the work was 28 and 415 mJ, respectively. The best MRF was formulated with octan-1-ol, and resulted in a normal force of 0.33 N and 3.4 mJ at 35 mm of vane penetration. Therefore, we conclude that the MRF with octan-1-ol and montmorillonite #6 showed a better balance between thixotropy, MR effect, and, above all, good redispersibility.

Himmet Kaplan, Ralf-Peter Mundani, Heiko Rölke et al.

Crude oil, a critical component of the global economy, has its prices influenced by various factors such as economic trends, political events, and natural disasters. Traditional prediction methods based on historical data have their limits in forecasting, but recent advancements in natural language processing bring new possibilities for event-based analysis. In particular, Language Models (LM) and their advancement, the Generative Pre-trained Transformer (GPT), have shown potential in classifying vast amounts of natural language. However, these LMs often have difficulty with domain-specific terminology, limiting their effectiveness in the crude oil sector. Addressing this gap, we introduce CrudeBERT, a fine-tuned LM specifically for the crude oil market. The results indicate that CrudeBERT's sentiment scores align more closely with the WTI Futures curve and significantly enhance price predictions, underscoring the crucial role of integrating economic principles into LMs.

Cheryl A. Hawkes, Victoria Goss, Elina Zotova et al.

Maternal obesity is associated with increased risk of diabetes, cardiovascular disease and hypertension in adult offspring. Midlife hypercholesterolemia and hypertension are risk factors for Alzheimer's disease, suggesting that the ageing brain may be impacted by early life environment. We found that exposure to a high fat diet during gestation and lactation induced changes in multiple components of the neurovascular unit, including a downregulation in apolipoprotein E and fibronectin, an upregulation in markers of astrocytes and perivascular macrophages and altered blood vessel morphology in the brains of adult mice. Feeding of high fat diet after weaning increased lipid droplets in the brain and influenced the fatty acid composition of phosphatidylcholine and phosphatidylethanolamine species, but did not affect the neurovascular unit. Sustained high fat diet over the entire lifespan resulted in additional decreases in levels of pericytes and collagen IV, changes in phospholipid composition and impaired perivascular clearance of Beta-amyloid (A-Beta) from the brain. In humans, vascular A-Beta load was significantly increased in the brains of aged individuals with a history of hypercholesterolemia. These results support a critical role for early dietary influence on the brain vasculature across the lifespan, with consequences for the development of age-related cerebrovascular and neurodegenerative diseases.

LI Jingsong, WANG Tao, WANG Jinwei et al.

The inversion of production performance after fracturing of coal-bed methane well is the key technology to realize the efficient development of gas reservoir. In order to improve the inversion efficiency of traditional numerical simulation methods, with the help of machine learning modeling technology and intelligent algorithm, this paper studies the automatic inversion and programmed design of key parameters such as coal-bed methane reservoir matrix permeability, gas saturation, fracture half length, fracture number and fracture conductivity. The multi-layer perceptron model is constructed with the training data generated by the nested discrete fracture coal-bed methane numerical simulator, and the collaborative inversion of reservoir-fracture parameters is realized by combining the intelligent algorithm. The results show that: (1) Using a small number of training samples (only 100 simulated samples are required for this case study), the machine learning model can accurately simulate the relationship between fracture/reservoir parameters and daily and cumulative gas production of shale gas wells; (2) The intelligent inversion algorithm based on machine learning agent assistance has high convergence efficiency and can quickly obtain a reasonable reservoir fracture parameter combination model with high inversion accuracy. It is concluded that the combination of machine learning modeling technology and intelligent inversion algorithm is helpful to promote the application and development of intelligent optimization technology of tight gas reservoirs, and provide theoretical guidance and technical support for accelerating the intelligent development process of unconventional oil and gas reservoirs in China.

桑祯玉1，徐青青2，陈莹2，陈晓涵2，杨博1，王永华2,3 SANG Zhenyu1, XU Qingqing2, CHEN Ying2, CHEN Xiaohan2， YANG Bo1，WANG Yonghua2,3

为拓宽三丁酸甘油酯的应用范围，以三丁酸甘油酯为芯材，抗性糊精-明胶-海藻酸钠（RGS）、抗性糊精-明胶-海藻酸钠-月桂酸单甘酯（RGSG）、抗性糊精-明胶-壳聚糖（RGC）、抗性糊精-明胶-壳聚糖-月桂酸单甘酯（RGCG）为壁材，采用喷雾干燥法制备4种微胶囊，对微胶囊包埋率及产率、粒径分布、基本理化性质、颜色、结构特征及外观形貌进行分析，探究不同壁材对三丁酸甘油酯微胶囊性质的影响。结果表明：RGSG微胶囊包埋率（91.05%）及产率（90.46%）较高；与RGC、RGS微胶囊相比，RGSG、RGCG微胶囊的水分活度、粒径分布、流动性、吸湿性、亮度均有一定的改善；红外光谱及扫描电镜结果表明三丁酸甘油酯被壁材有效包埋起来，其中RGSG、RGCG微胶囊形成了更强的氢键。综上，RGSG制备的微胶囊综合性质优于其他3种壁材。In order to broaden the application range of tributyrin, using tributyrin as the core material, and resistant dextrin-gelatin-sodium alginate(RGS), resistant dextrin-gelatin-sodium alginate-glycerol monolaurate(RGSG), resistant dextrin-gelatin-chitosan(RGC), resistant dextrin-gelatin-chitosan-glycerol monolaurate(RGCG) as wall materials, four kinds of microcapsules were prepared by spray drying method. Tributyrin microcapsules were evaluated with regard to embedding rate and yield, particle-size distribution, basic physicochemical properties, color, structural characteristics and appearance. The results showed that RGSG as the wall material had higher embedding rate (91.05%) and yield (90.46%). Compared with RGS and RGC microcapsules, RGSG and RGCG microcapsules had better water activity, particle-size distribution, fluidity, hygroscopicity and brightness. Fourier transform infrared spectroscopy and scanning electron microscope revealed that tributyrin were effectively encapsulated. RGSG，RGCG as the wall materials formed more intense hydrogen bonds. In conclusion, the comprehensive properties of tributyrin microcapsules prepared with RGSG as wall material were better than those of the other three kinds of wall materials.

Wang Hongjiang, Liu Lianqiang, Zhang Jiaxiang et al.

End face cavitation easily occurs iNmechanical seal of centrifugal pump during operation, which affects the reliability and stability of the equipment operation. In order to study the influence of end face cavitation of spiral groove on the mechanical seal performance, taking the leakage Q and opening force F as the optimization objectives, and the groove depth h, groove diameter ratio β, spiral angle θ, groove Nmber n and groove position coefficient λ as variables, an orthogonal test table was established, and the CFD method was used to conduct Nmerical simulation on the flow field of the sealing film. The study results show that the influence of λ on opening force and leakage is remarkable, followed by n; when λ≠0, the cavitation inside the liquid film is intense, which affects the sealing stability; when λ=0, based on orthogonal test method, the optimal working condition curve method of multiple objective parameters is put forward for the first time; then, taking P(leakage increment ΔQ/opening force increment ΔF)as the optimization evaluation index, 6 groups of optimal working condition points are obtained, and the optimal working condition curve is obtained by fitting, which provides a theoretical basis for the selection and optimization of spiral groove structure. The study based on the optimal working condition curve method solves the multi-objective optimization problem of orthogonal test and is universal.

Manash Kumar Kundu, Pritam Goswami, Satakshi Ghosh et al.

Arbitrary Pattern formation ($\mathcal{APF}$) by a swarm of mobile robots is a widely studied problem in the literature. Many works regarding $\mathcal{APF}$ have been proposed on plane and infinite grid by point robots. But in practical application, it is impossible to design point robots. In \cite{BoseAKS20}, the robots are assumed opaque fat robots but the environment is plane. To the best of our knowledge, no work till now ever considered the $\mathcal{APF}$ problem assuming opaque fat robots on infinite grid where movements are restricted. In this paper, we have provided a collisionless distributed algorithm and solved $\mathcal{APF}$ using 9 colors.

Vincent Hickl, Gabriel Juarez

Bacteria biodegradation of immiscible oil requires cell-droplet encounters, surface attachment, and hydrocarbon metabolism. Chemical dispersants are applied to oil spills to reduce the mean dispersed droplet size, thereby increasing the available surface area for attachment, in attempts to facilitate bacterial biodegradation. However, their effectiveness remains contentious as studies have shown that dispersants can inhibit, enhance, or have no effect on biodegradation. Therefore, questions remain on whether dispersants affect surface attachment or cell viability. Here, using microfluidics and time-lapse microscopy, we directly observe the attachment and growth of the marine bacterium, \emph{Alcanivorax borkumensis}, on stationary crude oil droplets ($5$ \textmu m $< R < 150$ \textmu m) in the presence of Corexit 9500. We show that the average colonization time, or the time comprised of encounters, attachment, and growth, is dependent on droplet size and primarily driven by diffusive encounters. Our results suggest that dispersants do not inhibit or enhance these biophysical processes.

Yan Wang, Liangchi Zhang, Chuhan Wu

This paper experimentally investigated the effects of silicone oil on the tribological behaviour of AZ31B/86CrMoV7 contact pair under a pin-on-disk configuration. A commercial silicone oil was used as an oxidation inhibiter for the AZ31B at elevated temperatures to 300 oC. The wear mechanism of the contact pair was explored by SEM morphologies of worn surfaces. The analysis revealed that silicone oil can effectively minimize surface oxidation. Compared with dry sliding, silicone oil can considerably lower down the friction coefficient and specific wear rate. Under lubrication, the abrasive wear at a lower temperature can transit to the combined wear of abrasion, fatigue and adhesion when the temperature rises.

Anas Abudaqa, Mohd Faiz Hilmi, Norziani Dahalan

Currently, job satisfaction and turnover intentions are the significant issues for oil and gas companies in the United Arab Emirates (UAE). These issues need to be addressed soon for the performance of the oil and gas companies. Thus, the aim related to the current study is to examine the impact of job burnout, emotional intelligence, and job satisfaction on the turnover intentions of the oil and gas companies in the UAE. The goals of this research also include the examination of mediating the influence of job satisfaction alongside the nexus of job burnout and turnover intentions of the oil and gas companies in the UAE. The questionnaire method was adopted to collect the data from the respondents, and Smart-PLS were employed to analyse the data. The results show that job burnout, emotional intelligence, and job satisfaction have a positive association with turnover intentions. In contrast, job satisfaction positively mediates the nexus between job burnout and turnover intentions. These results provide the guidelines to the policymakers that they should enhance their focus on job satisfaction and turnover intentions of the employees that improve the firm performance.

Longde SUN, Zihui FENG, Hang JIANG et al.

Some unusual events happened in petroleum industry in 2020, such as the negative WTI oil price, price soaring of melt-blown nonwoven fabric, Exxon Mobil Corp.(NYSE:XOM) removed from Dow Jones Industrial Average, and the oil demand peak theory proposed by BP Energy Outlook 2020 Edition. These events have made profound impact on petroleum exploration. Prospecting is at the forefront of petroleum industry chain, and prospectors have great influence on petroleum industry. The responsibility of petroleum prospectors is to find oil, which calls for the correct way of thinking as well as scientific and technical means, both of which are indispensable. When it comes to the cognition of petroleum exploration, we should draw lessons from predecessors' philosophy of finding oil from a development perspective. It is necessary to define the relationship between subject activity and objective structure, as there is an inherent tension between the two and a dialectical relationship that complements each other. It is also essential to illustrate the logic of initiative and decisiveness, as between the two is the dual logic of active logic that changes the world and deterministic logic based on science and technology. The strategic breakthrough in the Gulong shale oil exploration in Daqing is a typical example. Our knowledge and practice of oil exploration has overthrown the Hubbert Curve. The new curve may have more than one peak, which means hopes are always there for finding oil. Climbing to the top of a mountain must start from the foot. A journey of a thousand miles must begin with a single step. Looking forward to the future, prospectors have the wisdom, ability, and methods to find more, cleaner, and more affordable oil to drive the progress of human civilization. This is the duty of petroleum prospectors.

Nicolas Basty, Marjola Thanaj, Madeleine Cule et al.

Dixon MRI is widely used for body composition studies. Current processing methods associated with large whole-body volumes are time intensive and prone to artifacts during fat-water separation performed on the scanner, making the data difficult to analyse. The most common artifact are fat-water swaps, where the labels are inverted at the voxel level. It is common for researchers to discard swapped data (generally around 10%), which can be wasteful and lead to unintended biases. The UK Biobank is acquiring Dixon MRI for over 100,000 participants, and thousands of swaps will occur. If those go undetected, errors will propagate into processes such as abdominal organ segmentation and dilute the results in population-based analyses. There is a clear need for a fast and robust method to accurately separate fat and water channels. In this work we propose such a method based on style transfer using a conditional generative adversarial network. We also introduce a new Dixon loss function for the generator model. Using data from the UK Biobank Dixon MRI, our model is able to predict highly accurate fat and water channels that are free from artifacts. We show that the model separates fat and water channels using either single input (in-phase) or dual input (in-phase and opposed-phase), with the latter producing improved results. Our proposed method enables faster and more accurate downstream analysis of body composition from Dixon MRI in population studies by eliminating the need for visual inspection or discarding data due to fat-water swaps.

Kayode Sanni, Promise Longe, Sylvester Okotie

An accurate prediction of production rate for wellhead choke is highly vital in petroleum production engineering applications. It is deployed in the control of surface production, prevention of water and gas coning, and optimization of the entire production systems. Although there are several choke correlations in literature to estimate production rate; however, most of the published correlations were derived with datasets outside Niger Delta fields. Thus, this study presents a new empirical-based model, which is a derivative from Choubineh et al. model, to predict the liquid production rate of chokes for Niger Delta oil wells. The new model was developed and optimized using multivariate regression and the Generalized Reduced Gradient (GRG) optimization algorithm. Furthermore, a total of 283 production data points from 21 oil wells in 7 fields in the Niger Delta region, with a randomly generated ratio of 70: 30 of the datasets, was used to develop and validate the developed model. The developed Model 2 predicted the choke production rate with a fitting accuracy of average absolute percentage error (AAPE) of 23.73% and coefficient of determination (R2) of 0.973; in addition, the model predicted validating accuracy of AAPE of 9.33% while the coefficient of determination (R2) stands at 0.982. Consequently, this model can be relied on as a quick and robust tool for estimating the choke production rate of producing oil wells. Moreover, the sensitivity analysis results show that the choke size has the most significant impact on the predicted liquid rate. In contrast, gas gravity has the least impact.

Taro Langner, Robin Strand, Håkan Ahlström et al.

The UK Biobank Imaging Study has acquired medical scans of more than 40,000 volunteer participants. The resulting wealth of anatomical information has been made available for research, together with extensive metadata including measurements of liver fat. These values play an important role in metabolic disease, but are only available for a minority of imaged subjects as their collection requires the careful work of image analysts on dedicated liver MRI. Another UK Biobank protocol is neck-to-knee body MRI for analysis of body composition. The resulting volumes can also quantify fat fractions, even though they were reconstructed with a two- instead of a three-point Dixon technique. In this work, a novel framework for automated inference of liver fat from UK Biobank neck-to-knee body MRI is proposed. A ResNet50 was trained for regression on two-dimensional slices from these scans and the reference values as target, without any need for ground truth segmentations. Once trained, it performs fast, objective, and fully automated predictions that require no manual intervention. On the given data, it closely emulates the reference method, reaching a level of agreement comparable to different gold standard techniques. The network learned to rectify non-linearities in the fat fraction values and identified several outliers in the reference. It outperformed a multi-atlas segmentation baseline and inferred new estimates for all imaged subjects lacking reference values, expanding the total number of liver fat measurements by factor six.

Ivan Makhotin, Denis Orlov, Dmitry Koroteev et al.

Well known oil recovery factor estimation techniques such as analogy, volumetric calculations, material balance, decline curve analysis, hydrodynamic simulations have certain limitations. Those techniques are time-consuming, require specific data and expert knowledge. Besides, though uncertainty estimation is highly desirable for this problem, the methods above do not include this by default. In this work, we present a data-driven technique for oil recovery factor estimation using reservoir parameters and representative statistics. We apply advanced machine learning methods to historical worldwide oilfields datasets (more than 2000 oil reservoirs). The data-driven model might be used as a general tool for rapid and completely objective estimation of the oil recovery factor. In addition, it includes the ability to work with partial input data and to estimate the prediction interval of the oil recovery factor. We perform the evaluation in terms of accuracy and prediction intervals coverage for several tree-based machine learning techniques in application to the following two cases: (1) using parameters only related to geometry, geology, transport, storage and fluid properties, (2) using an extended set of parameters including development and production data. For both cases model proved itself to be robust and reliable. We conclude that the proposed data-driven approach overcomes several limitations of the traditional methods and is suitable for rapid, reliable and objective estimation of oil recovery factor for hydrocarbon reservoir.

Ali Y. Jirjees, Abdulaziz M. Abdulaziz

In the present study, well log and well test data of 3 wells are investigated in details using Interactive Petrophysics (IP 3.5) software and KAPPA Workstation 2016 (Saphir) to examine the reservoir properties and to evaluate the effect of uncertainty in well logs interpretation on well test results. This involves the variations in the output value induced by random, systematic and model-based errors of the petrophysical input data. Results of well test uncertainty analysis indicated that the effective permeability calculations are strongly affected by the pay thickness uncertainty in Mishrif Formation with changes between 14.5% and 47%. Significant influences are related to pressure (∼10%), µo and Bo (∼9%), ?? (∼6%), and Sw (∼5%). Alternatively, radius of investigation calculations reported slight influences attributed to Sw (∼9%) and porosity (5%) uncertainties, with minimal influence by Bo, µo, and pressure. The skin factor calculations, however, showed a great sensitivity towards the pressure measurements up to 35%. Compared to fluid data, petrophysics uncertainty analysis showed marked influences on the effective permeability, skin factor and radius of investigation. These results show the importance of accurate reservoir petrophysics on well test interpretation that may change the calculated values between 10 and 50% that strongly influence the expected well performance. Keywords: Uncertainty analysis, Well log petrophysics, Well test, West Al Qurna Oil Field, Iraq