Journal of Petroleum and Mining Engineering最新文献

{"title":"Diagnosing and Controlling Excessive Water Production: State-of-the-Art Review","authors":"Ebrahim Bin Marta, Mohamed Mostafa Hammouda, Mahmoud Tantawy, Mohammed Khamis, Ali Wahba","doi":"10.21608/jpme.2023.233102.1174","DOIUrl":"https://doi.org/10.21608/jpme.2023.233102.1174","url":null,"abstract":"","PeriodicalId":34437,"journal":{"name":"Journal of Petroleum and Mining Engineering","volume":"41 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135463024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of the Initial Temper Conditions and Post-Deposition Heat Treatments on the Friction Stir Deposition of AA7075.","authors":"Yousef Gamal, R. Abbas, Sarah A. Elnekhaily, Mohamed M. Z. Ahmed, A. Abdel-Samad, M. E. El-Sayed Seleman","doi":"10.21608/jpme.2023.224934.1170","DOIUrl":"https://doi.org/10.21608/jpme.2023.224934.1170","url":null,"abstract":"Due to the importance of friction stir deposition in many applications such as the repair of surface defects, rib stiffeners, and functional gradient materials for aerospace, biomedical and automotive industries. The present study aims to examine the influence of two different tempered conditions of (T6) and (O) for the as-received material and the post-deposition heat treatment (PDHT) on the mechanical properties and the microstructure of the AA7075 aluminum alloy deposited via additive friction stir deposition technique. To achieve these goals, the FSD experiment was conducted using a 40 mm consumable rod of AA7075-T6 aluminum alloy on a substrate of AA2024-T4 at a constant rotation speed of 400 rev/min and deposition rate of 3 mm/min as a first step to produce continuously multi-layers of AA7075-T6 and AA7075-O. The PDHT was the second step to study the enhancement of the mechanical properties after the deposition process, using two different techniques retrogression re-aging (RRA) and Re-ageing (RA). For the deposited materials the hardness and compression tests as mechanical properties were conducted. In addition, Optical microscopy (OM), scanning electron microscopy (SEM) using an advanced EDS system, and XRD technique were used to analyze the microstructure features. The result showed that after FSD process the hardness of the deposited AA7075-O increased by 25% but the deposited AA7075-T6 attains 90% of the as-received consumable rod. The optimal levels of hardness and compression strength were attained using post-deposition heat treatment of the deposited AA7075-T6 alloy. The resulting average hardness value was measured at 231 HV, while the compressive stress at a strain of 35% was approximately 1142 MPa. The compressive strength of the deposited material was higher than the initial material in both tempered conditions. The microstructure shows a recrystallized grains refinement throughout the deposited AA7075, in which the gain size decreases from 25 µm ± 4 for the as-received material to be 2.06 µm ± 0.51, 1.67 µm ± 0.47 and 4.80 µm ± 1.01 for the DPs AA7075-T6, AA7075-O, and the PDHT, respectively.","PeriodicalId":34437,"journal":{"name":"Journal of Petroleum and Mining Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45047368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systematic Approach For Sharp Separation Network","authors":"Basma Ahmed, S. Aly, M. Awad","doi":"10.21608/jpme.2023.215060.1166","DOIUrl":"https://doi.org/10.21608/jpme.2023.215060.1166","url":null,"abstract":".","PeriodicalId":34437,"journal":{"name":"Journal of Petroleum and Mining Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47786660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New Insights on Water Saturation Determination of Carbonate Reservoirs Using Artificial Intelligence Approach (AIA) and Conventional methods","authors":"G. Hamada, Abdelrigeeb A. ElKadi, Abbas M. Alkhudafi","doi":"10.21608/jpme.2023.172751.1144","DOIUrl":"https://doi.org/10.21608/jpme.2023.172751.1144","url":null,"abstract":"Carbonate reservoir rocks are considered heterogeneous and it is due to complex pores pattern caused by different diagenetic factors that are modifying the microstructures and matrix system. parameters and finally leading to significant petrophysical heterogeneity and anisotropy. Water saturation determination in carbonate reservoirs is crucial parameter to determine initial reserve of given an oil field. Water saturation determination using electrical measurements is based on Archie’s formula. Consequently, accuracy of Archie’s formula parameters affects seriously water saturation values. This work focuses on calculation of water saturation using Archie’s formula. Different determination techniques of Archie’s parameters such as conventional technique, CAPE technique and 3-D technique have been tested and then water saturation was calculated using Archie’s formula with the calculated parameters (a, m and n). This study introduced parallel self-organizing neural network (PSONN) algorithm predict Archie’s parameters and determination of water saturation. Results have shown that predicted Archie’s parameters (a, m and n) are highly accepted with statistical analysis lower statistical error and higher correlation coefficient than conventional determination techniques. The developed PSONN algorithm used big number of measurement points from core plugs of carbonate reservoir rocks. PSONN algorithm provided reliable water saturation values. We believe that PSONN can improve or may replace the conventional techniques to determine Archie’s parameters and determination of reserve estimate in carbonate reservoirs.","PeriodicalId":34437,"journal":{"name":"Journal of Petroleum and Mining Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42485666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Different Machine Learning Approaches to predict Gas Deviation Factor (Z-factor)","authors":"M. Elsayed, Ahmed Alsabaa, Adel A. S. Salem","doi":"10.21608/jpme.2023.177642.1145","DOIUrl":"https://doi.org/10.21608/jpme.2023.177642.1145","url":null,"abstract":"The gas compressibility factor indicates the gas deviation from ideal gas behavior. Accurate values of gas compressibility factor affect the estimation of reservoir fluid properties, the initial gas in place, and the natural gas production and transportation process. Gas compressibility factor can be estimated in labs; however, this method is expensive and time-consuming. Due to these challenges, numerous studies created various empirical correlations depending on the results of the equation of state. The Standing and Katz chart is regarded as a standard for estimating gas compressibility factor. Many studies proposed approaches and correlations to fit this chart, however some did not cover the entire range of data, others provided implicit methods taking long time for calculation or faced high errors out of the data range. In this study, Support Vector Machine, Radial Basis Function, and Functional Network as machine learning approaches were implemented to predict the gas compressibility factor, based on 5490 data set of Standing and Katz chart. 70% of the data set was implemented in the training process and 30% in the testing process. The data set included pseudo-reduced pressure and pseudo-reduced temperature as inputs and Z-factor as an output. Different training functions were examined for each method for the best approach optimization. In addition, machine learning best approach was compared with other correlations. The best results in this work were obtained from Radial Basis Function with 0.14 average absolute percentage error and 0.99 correlation coefficient. The developed machine learning approach performed better than the examined correlations","PeriodicalId":34437,"journal":{"name":"Journal of Petroleum and Mining Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44801048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Economics of Exploiting a Marginal Heavy Oil Field in Nigeria: Deterministic and Stochastic Approach","authors":"Adaobi (Mrs) Anele, Bright Bariakpoa Kinate, Uchenna Elikee","doi":"10.21608/jpme.2023.151635.1136","DOIUrl":"https://doi.org/10.21608/jpme.2023.151635.1136","url":null,"abstract":"When an oilfield is a marginal field, it creates the impression of low revenue to investors because possible recoverable hydrocarbon may fall below 50MMSTB; the issue with marginal heavy oil fields is that the investor is saddled with a burden of low heavy oil price and high CAPEX. This is because the price of heavy oil is discounted by approximately 50% the price of light/medium crude oil. The question the investor would ask is “venture or not to venture?” This paper looks at a shallow water field of 42 meters depth that is both a marginal field and a heavy oil field. It explores the implications of the Nigerian marginal oilfield fiscal policy (royalty and tax rates), heavy oil price and the high cost of recovering heavy oil on the overall field economics. Discounted cash flow model was employed to carry out a deterministic analysis on the field’s production profile. The stochastic model has oil price, tax rate, royalty rate, overriding royalty rates to the farmor and capital expenditure are the input variables while the contractor’s take, host government take and farmor royalty deductions are the output variables. The results show that the investment is sensitive to changes on the input variables like tax rate, heavy oil price, royalty rates and capital cost. We suggest that modifications be made on the marginal oilfield fiscal policy to encourage more investments on marginal heavy oil fields.","PeriodicalId":34437,"journal":{"name":"Journal of Petroleum and Mining Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49229496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AN INVESTIGATION OF SEVERE SLUGGING MITIGATION TECHNIQUES IN DEEPWATER OIL FIELD SCENERIO: A REVIEW STUDY","authors":"N. Okereke, Uzoma Ajugwe, Christian Okalla, C. Anyadiegwu, A. Kerunwa, S. Udeagbara","doi":"10.21608/jpme.2023.167595.1138","DOIUrl":"https://doi.org/10.21608/jpme.2023.167595.1138","url":null,"abstract":".","PeriodicalId":34437,"journal":{"name":"Journal of Petroleum and Mining Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45028579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Shale Gas Production Forecasting and EUR Estimation: A New Approach for Decline Curve Analysis","authors":"Shams Coutry, M. Tantawy, S. Farrag","doi":"10.21608/jpme.2023.216695.1167","DOIUrl":"https://doi.org/10.21608/jpme.2023.216695.1167","url":null,"abstract":"","PeriodicalId":34437,"journal":{"name":"Journal of Petroleum and Mining Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43820622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Review of Recent Developments in Enhanced Oil Recovery: The Integration of Steam Injection with Chemical Additives and their Effect on Heavy Oil Recovery","authors":"ِAhmed Alsabagh, A. Salem, S. Khalil, Galal Abdel-Aleima, M. Roushdi","doi":"10.21608/jpme.2023.213583.1165","DOIUrl":"https://doi.org/10.21608/jpme.2023.213583.1165","url":null,"abstract":"","PeriodicalId":34437,"journal":{"name":"Journal of Petroleum and Mining Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47262143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of Flow Rate and Water Salinity in Mobilization of Kaolinite","authors":"N. Ogolo, J. Kamalu, M. Onyekonwu","doi":"10.21608/jpme.2023.115326.1108","DOIUrl":"https://doi.org/10.21608/jpme.2023.115326.1108","url":null,"abstract":"","PeriodicalId":34437,"journal":{"name":"Journal of Petroleum and Mining Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42201244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}