Petroleum & Petrochemical Engineering Journal最新文献_第2页

Shale Characterization Methods Using XRD, CEC, and LSM: Experimental Findings 利用 XRD、CEC 和 LSM 表征页岩的方法：实验结果

Petroleum & Petrochemical Engineering Journal Pub Date : 2024-01-23 DOI: 10.23880/ppej-16000380

Alagoz E

引用次数: 0

Combinational CO2 and Polymer Injections for EOR and CO2 Storage in Depleted Reservoirs: A Mini Review on Laboratory, Simulation and Field Studies 在枯竭储层中联合注入二氧化碳和聚合物进行 EOR 和二氧化碳封存：实验室、模拟和现场研究综述

Petroleum & Petrochemical Engineering Journal Pub Date : 2024-01-23 DOI: 10.23880/ppej-16000382

Livinus A

引用次数: 0

How Oil and Gas Companies can derive C-Factors in the API RP 14E Erosional Velocity Models for their ‘Clean Service’ Pipelines 石油和天然气公司如何在 API RP 14E 侵蚀速度模型中为其 "清洁服务 "管道推导出 C 因子

Petroleum & Petrochemical Engineering Journal Pub Date : 2023-10-05 DOI: 10.23880/ppej-16000364

Livinus A

{"title":"How Oil and Gas Companies can derive C-Factors in the API RP 14E Erosional Velocity Models for their ‘Clean Service’ Pipelines","authors":"Livinus A","doi":"10.23880/ppej-16000364","DOIUrl":"https://doi.org/10.23880/ppej-16000364","url":null,"abstract":"In designing pipeline facilities for production and transportation of oil, hydrocarbon gases or non-hydrocarbon gases – CO2 and H2 , consideration is given to pipeline integrity, flow assurance, operation and health/safety issues. Erosion-corrosion of the inner pipeline wall and/or high-pressure losses is of great concern. For many years now, many oil and gas field operators have adopted the America Petroleum Institute recommended practice 14E (API RP 14E) equation to estimate the erosional velocity. Unfortunately, the C-factor (which is an empirical constant) in the API RP 14E equation has been generalized to all field conditions. In addition, there is no concrete scientific evidence behind the basis of its formulation, and various values have been adopted based on field and laboratory experiences. In this work, we present how oil and gas companies could formulate safer erosional velocity models for their sand free or ‘clean service’ pipelines, based on the velocities calculated for the equilibrium flow rate (that is, the intersection of vertical lift performance (VLP) and inflow performance relationship (IPR)). The developed erosional velocity models can be applied, and compared with in-house correlations, for erosional velocity predictions","PeriodicalId":282073,"journal":{"name":"Petroleum & Petrochemical Engineering Journal","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139323238","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}

引用次数: 0

Prediction of Vapor Liquid Equilibrium of Binary CO2-Contained Mixtures for Carbon Capture and Sequestration using Artificial Intelligence 利用人工智能预测用于碳捕集与封存的含二氧化碳二元混合物的汽液平衡

Petroleum & Petrochemical Engineering Journal Pub Date : 2023-10-05 DOI: 10.23880/ppej-16000365

Rostami S

{"title":"Prediction of Vapor Liquid Equilibrium of Binary CO2-Contained Mixtures for Carbon Capture and Sequestration using Artificial Intelligence","authors":"Rostami S","doi":"10.23880/ppej-16000365","DOIUrl":"https://doi.org/10.23880/ppej-16000365","url":null,"abstract":"This research provides a comprehensive prediction using machine learning to predict vapor-liquid-equilibrium for CO2 - contained binary mixtures for carbon capture and sequestration projects. One of the best practices to lower the CO2 emissions in the atmosphere is Carbon Capture and Sequestration including capturing carbon dioxide from atmosphere and injecting it into the underground geological formations. One of the key elements in a successful project is to accurately model the phase equilibria which provides us on how the fluid or mixtures of the injected fluids will behave in certain pressures and temperatures underground. In this regard, different machine learning models have been implemented for the prediction. The data set consists experimental results of five different binary mixtures with CO2 presents in all of them. Then the results were compared to each other and the one with the highest accuracy was selected for each mixture. Peng Robinson equation of state was also used and compared with machine learning results. Finally, both machine learning and thermodynamic models were compared to experimental results to determine the accuracy. It was found out that thermodynamic model was unable to predict results for many data points while machine learning could predict results for most of the data points. Also, the accuracy of machine learning models was greatly better than thermodynamic model. In this research, a large data set including 748 data points is used on which machine learning models can be trained more accurate. Also, as a single machine learning model cannot predict accurate results for all mixtures, several models have been run on each mixture, and the one with the highest accuracy was selected for each CO2 -contained binary mixture which to our knowledge, has been never implemented.","PeriodicalId":282073,"journal":{"name":"Petroleum & Petrochemical Engineering Journal","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139323337","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}

引用次数: 0

Pressurization Characteristics and Proppants Transport of Pulse Jet Fracturing with CFD-DEM Coupling Method 利用 CFD-DEM 耦合方法研究脉冲喷射压裂的加压特性和支撑剂传输

Petroleum & Petrochemical Engineering Journal Pub Date : 2023-10-05 DOI: 10.23880/ppej-16000366

Cai C

{"title":"Pressurization Characteristics and Proppants Transport of Pulse Jet Fracturing with CFD-DEM Coupling Method","authors":"Cai C","doi":"10.23880/ppej-16000366","DOIUrl":"https://doi.org/10.23880/ppej-16000366","url":null,"abstract":"Hydraulic jet fracturing, which integrates hydraulic sand jet perforation and hydraulic fracturing, is widely used in the stimulation of low permeability reservoir. However, due to the complexity of the fluid-solid interaction, the effect of pressurization characteristics and proppants transport in the perforation hole are still unclear. Therefore, in this paper, the pressurization characteristics and proppants transport of pulse jet fracturing are investigated under different pressure amplitude, angular velocity, average pressure, nozzle diameter and perforation diameter with the CFD-DEM (Computational Fluid Dynamics and Discrete Element Method) coupled method. Results indicates that the effect of pressure amplitude, average pressure are positively related to the maximum velocity and maximum total pressure, while the effect of nozzle diameter is positively correlated with the maximum velocity, and the maximum total pressure has a relatively small effect. The effect of perforation diameter is negatively related to maximum velocity. It can be seen that pulsed jet fracturing can effectively relieve the large number of proppants blocking present around the perforated inlet of a single section of the pulse jet fracturing model (SPJFM). But when the proppants are of a certain size and the nozzle diameter is very small, it is difficult for the proppants to enter the perforation. And the smaller the diameter of the perforation, the less proppant enters the perforation, and some of the proppant appears in the annular section. By reasonably designing the optimal parameters, the pulsed jet can maximize the pressurization, helping optimize jet fracturing application parameters.","PeriodicalId":282073,"journal":{"name":"Petroleum & Petrochemical Engineering Journal","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139323277","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}

引用次数: 0

An Approach to Assess the Impact of Polyanionic Cellulose (PACLV) Polymer and Nanoparticles on Rheology and Filtration Control of Water-Based Muds 评估聚阴离子纤维素（PACLV）聚合物和纳米颗粒对水基泥流变性和过滤控制影响的方法

Petroleum & Petrochemical Engineering Journal Pub Date : 2023-10-05 DOI: 10.23880/ppej-16000363

Adeyemi Ga

引用次数: 0

Targeting Goal Synergies and Transnational Partnerships for Petro-Energy Sustainability in Africa 瞄准目标协同作用和跨国伙伴关系，促进非洲石油能源的可持续性

Petroleum & Petrochemical Engineering Journal Pub Date : 2023-10-05 DOI: 10.23880/ppej-16000362

Ejenavi Ol

{"title":"Targeting Goal Synergies and Transnational Partnerships for Petro-Energy Sustainability in Africa","authors":"Ejenavi Ol","doi":"10.23880/ppej-16000362","DOIUrl":"https://doi.org/10.23880/ppej-16000362","url":null,"abstract":"Sustainability goals integration in a petro-context could be considered irreconcilable. Harnessing SD goal synergies in the African petroleum sector may even be supremely problematic. Africa still grapples with a knotty mix of convoluted challenges, ranging from poverty, insecurity, drought, to extreme underdevelopment. Having contributed the least to the global climate dilemma, Africa still must bear the brunt of negative climate impacts, whilst shouldering its daunting chunk of climate adaptation and mitigation commitments. Moreover, a huge dependency on fuel imports, escalating debt profile and funding shortfalls, plague many countries at the subregional levels. In a relentless chronicle of woes, the region exhibits the highest energy deficiencies whilst contending with excruciatingly prohibitive petroleum importation costs soaring over $100 Billion USD annually. Similarly, Africa’s annual investment projections for energy are an estimated $190 billion USD. The implication is that, whereas the region has to achieve SD target obligations, its most credible means of optimising goal synergies, should be via an approach that targets energy sustainability, which remains an indispensable driver of most sustainability goals. To achieve this aim, a continental prioritization of regional partnerships is advocated to engender a sustainable petroleum sector. This is deemed crucial because of the considerable benefits the sector wields towards SDGs actualization and its relevance as a viable connector and pivot towards cleaner energy transition.","PeriodicalId":282073,"journal":{"name":"Petroleum & Petrochemical Engineering Journal","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139322940","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}

引用次数: 0

Comparative Evaluation of the Feasibility of Utilizing the Bakken Formation Oil and Gas Field Produced Water for Extraction of Critical Minerals and Salts, with a Focus on the Inyan Kara Formation: An Analysis of Salinity and Infrastructure 利用巴肯地层油气田采出水提取关键矿物质和盐类的可行性比较评估，重点关注伊尼扬卡拉地层：盐度和基础设施分析

Petroleum & Petrochemical Engineering Journal Pub Date : 2023-10-05 DOI: 10.23880/ppej-16000367

Jakaria Md

{"title":"Comparative Evaluation of the Feasibility of Utilizing the Bakken Formation Oil and Gas Field Produced Water for Extraction of Critical Minerals and Salts, with a Focus on the Inyan Kara Formation: An Analysis of Salinity and Infrastructure","authors":"Jakaria Md","doi":"10.23880/ppej-16000367","DOIUrl":"https://doi.org/10.23880/ppej-16000367","url":null,"abstract":"This study compares the salt concentration and mineral composition of water from the Bakken Formation and the Inyan Kara Formation to assess their suitability for salt/critical minerals extraction. The results reveal that the Bakken Formation exhibits significantly higher levels of dissolved solids, calcium, magnesium, and chloride compared to the Inyan Kara Formation, indicating its potential suitability for salt/critical elements extraction. Conversely, the Inyan Kara Formation water displays higher bicarbonate concentrations, which may limit its applicability in certain salt extraction processes. The Bakken Formation proves more viable for water production due to its existing oil and gas infrastructure and abundant produced water from active and abandoned oil wells. This availability of produced water wells reduces the cost of critical mineral extraction and presents opportunities for water reuse or critical minerals sale, generating additional revenue that could offset recycling and disposal costs. In contrast, the absence of water production wells in the Inyan Kara Formation hinders its economic feasibility for salt/mineral extraction. The Inyan Kara Formation has a higher volume of water, but its lower salt content limits its usefulness for some purposes, especially in the energy industry for recovering rare earth minerals. Considering the higher mineralization, the concentration of key ions, and the presence of water production infrastructure, the Bakken Formation emerges as a more favorable choice for critical mineral extraction. However, factors like environmental impact and extraction costs should be considered in determining the most suitable formation. Despite data limitations, the study utilizes a valuable database to identify regional variations in salt concentrations for critical mineral extraction.","PeriodicalId":282073,"journal":{"name":"Petroleum & Petrochemical Engineering Journal","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139323276","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}

引用次数: 0

Predictive Models for Oil in Place for Oil Rim Reservoirs in the Niger Delta Using Machine Learning Approach 使用机器学习方法预测尼日尔三角洲石油环形储藏的就地取油模型

Petroleum & Petrochemical Engineering Journal Pub Date : 2023-07-20 DOI: 10.23880/ppej-16000361

Livinus A

{"title":"Predictive Models for Oil in Place for Oil Rim Reservoirs in the Niger Delta Using Machine Learning Approach","authors":"Livinus A","doi":"10.23880/ppej-16000361","DOIUrl":"https://doi.org/10.23880/ppej-16000361","url":null,"abstract":"One of the key factors that analysts consider when calculating the economics of oil field development is the amount of oil in place (OIP). Conventional methods used for its estimation have some features affecting their predictive capabilities and applications. In addition, Oil bidders have limited time to evaluate and rank reservoirs from complex and large reservoir data packages - which sometimes fees are paid for their access. In this study, data-driven machine learning models - artificial neural network (ANN), support vector regression (SVR) and multiple linear regression (MLR) were developed for quick estimation of OIP for oil rim reservoirs in the Niger Delta. The models were evaluated using statistical error tools, and the results showed reasonable predictions. The sensitivity analysis performed on the selected input parameters showed that areal extent has the greatest impact on the estimation of the OIP with 29.94 %, oil formation volume factor has 22.74 % impact, oil column thickness was 16.61 %, m-factor has 13.29 %, water saturation was 9.01 %, and lastly porosity has 8.38 %. Comparison with recovery factor surrogate models existing in open literature were also carried out. The newly developed models can be helpful for oil bidders in ranking and evaluation of oil rim reservoirs in the Niger Delta.","PeriodicalId":282073,"journal":{"name":"Petroleum & Petrochemical Engineering Journal","volume":"82 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139357424","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}

引用次数: 0

Improving the Accuracy of Experimental Hydrate Equilibrium Point Determination: A Mini-Review 提高实验水合物平衡点测定的准确性:综述

Petroleum & Petrochemical Engineering Journal Pub Date : 2023-07-20 DOI: 10.23880/ppej-16000355

Aminnaji M

引用次数: 0

Petroleum &amp; Petrochemical Engineering Journal最新文献

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