Petrovietnam Journal最新文献

{"title":"Application of gas-assisted gravity drainage (GAGD) to improve oil recovery of Rang Dong basement reservoir","authors":"K. Nguyen, Minh Dung Ha","doi":"10.47800/pvj.2022.10-05","DOIUrl":"https://doi.org/10.47800/pvj.2022.10-05","url":null,"abstract":"As an option to improve the ultimate oil recovery factor of the Rang Dong field, a feasibility study of gas-assisted gravity drainage (GAGD) application was carried out for the fractured basement reservoir with a single-well Huff ‘n’ Puff pilot test applied on a high water-cut producer. This paper aims to provide an in-depth understanding about such case study, which includes details on candidate selection, gas injection scheme, on-site execution, results of flow-back, post-job review and lessons learned. \u0000The pilot test of GAGD was recorded with a good oil rate and low water-cut during flowing back after gas injection and shut-in for gas segregation, which suggests the positive effectiveness of GAGD to some degree. The expansion of the GAGD application to other wells and areas in the field would be encouraged in any similar situation. On the other hand, the results of this pilot test shed a light into further optimisation of the candidate selection and gas injection scheme by material balance analysis and reservoir simulation respectively.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"3 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114120780","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":"KPI as a tool to consolidate internal management competence - Practice at PVEP","authors":"Mai Huong Phung, Quang Vinh Dang","doi":"10.47800/pvj.2022.10-10","DOIUrl":"https://doi.org/10.47800/pvj.2022.10-10","url":null,"abstract":"The article introduces the key performance index (KPI) system on its way to application in the Petrovietnam Exploration Production Corporation (PVEP). The paper provides comprehensive information with regard to KPI measurement, the implication behind indices related to business administration, alongside procedural steps to be taken. Factors supposedly contributing to work and budget performance management are also considered and presented.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122968257","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":"VPI-Mlogs: A web-based machine learning solution for applications in petrophysics","authors":"Anh Tuan Nguyen","doi":"10.47800/pvj.2022.10-06","DOIUrl":"https://doi.org/10.47800/pvj.2022.10-06","url":null,"abstract":"Machine learning is an important part of the data science field. In petrophysics, machine learning algorithms and applications have been widely approached. In this context, Vietnam Petroleum Institute (VPI) has researched and deployed several effective prediction models, namely missing log prediction, fracture zone and fracture density forecast, etc. As one of our solutions, VPI-MLogs is a web-based deployment platform which integrates data preprocessing, exploratory data analysis, visualisation and model execution. Using the most popular data analysis programming language, Python, this approach gives users a powerful tool to deal with the petrophysical logs section. The solution helps to narrow the gap between common knowledge and petrophysics insights. This article will focus on the web-based application which integrates many solutions to grasp petrophysical data.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116311499","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":"Analysing the effect of bedding plane orientation on the wellbore failure","authors":"V. H. Nguyễn, H. L. Luong","doi":"10.47800/pvj.2022.10-04","DOIUrl":"https://doi.org/10.47800/pvj.2022.10-04","url":null,"abstract":"The paper presents a theory of the “plane of weakness” modelling applied to a deviated borehole that penetrated through laminated shale containing numerous parallel weakness planes. The obtained results show that the strength envelope for anisotropic rock is characterised by a U-shaped reduction in strength for failure along the weakness plane, confining pressure from 20 MPa to 80 MPa whithout any change in the failure mechanism of the shale. In terms of borehole failure, there is a risk zone within the well, whose inclination varies between 60o - 90o, and the azimuth changes from 100o - 165o.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115299955","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 quick comparison of Pliocene and Upper Miocene shale resources in northern, central and southern parts of Song Hong basin with reference to their gas potential","authors":"Thi Hai Quan Vo, H. G. Phạm","doi":"10.47800/pvj.2022.10-01","DOIUrl":"https://doi.org/10.47800/pvj.2022.10-01","url":null,"abstract":"  This research is a follow-up of a more comprehensive PhD study on assessment of shale gas resources in the northern Song Hong basin that was conducted at the Asian Institute of Technology (AIT). The Song Hong basin, a typical pull-apart Cenozoic basin, had experienced a post-extensional stage accompanied by seafloor spreading from Upper Oligocene to Lower Miocene with its stratigraphy characterised by a fault-controlled syn-rift continental sequence followed by a post-rift marine sequence. In recent years, a number of gas fields have been discovered in the Song Hong basin with the Oligocene-Eocene and the Lower-Middle Miocene shales as the major and minor source rocks, respectively. On the other hand, the Pliocene and Upper Miocene shales, present in the stratigraphy from the north to the south of the Song Hong basin, have generally been considered as the seals, but not the source rocks in some previous studies. In July 2020, an exploration well (Ken Bau-2X) was drilled in Block 114 by ENI, reaching a total depth of 3,658 m and encountering a pay of about 110 m in several intervals of Upper Miocene sandstones interbedded with shales, confirming a considerable gas accumulations discovered in Vietnam so far. The interesting thing is that this well only encounter the Pliocene and Upper Miocene shales, the Oligocene-Eocene or Middle-Lower Miocene sediments underlying is absent or very thin. Therefore, potential source rock of these shales should be considered in the area, in particular with reference to petroleum system of the central Song Hong basin. \u0000  \u0000In this study, a preliminary comparison of the Pliocene and Upper Miocene shale resources in the northern, central and southern blocks in the Song Hong basin was conducted based on the analysis results of XRD, Rock-Eval pyrolysis, vitrinite reflectance, respectively. While the Pliocene and Upper Miocene shales in many areas of Song Hong basin, show a very low or no hydrocarbon generation potential, the very deep and thick Pliocene and Upper Miocene shales in the center and adjacent areas, deposited in a marine environment under the special conditions of abnormal pressure and high geothermal gradient, can be potential source rocks that have possibly generated and released a large amount of hydrocarbons. Further geochemical analyses and petroleum system modelling of the Pliocene and Upper Miocene shales in particular and for the whole central Song Hong basin are recommended.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128686660","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 study on financial mechanisms to develop the power system in Vietnam","authors":"Duong Minh Ha","doi":"10.47800/pvj.2022.10-08","DOIUrl":"https://doi.org/10.47800/pvj.2022.10-08","url":null,"abstract":"Vietnam’s commercial electricity demand grew by 9.6% per year during 2011 - 2020. The Ministry of Industry and Trade (MOIT) forecasts that the average annual investment cost for the power system over 2021 - 2030 will be around USD 9.0 billion to USD 12.6 billion per year for generation sources and USD 1.5 billion to USD 1.6 billion for the grid. This article discusses the financial options to mobilise this capital. The private sector interest in financing new thermal power projects is low for coal and uncertain for gas; the current energy price crisis suggests deferring any new LNG power plant openings until after 2026. There, the state-owned sector takes the lead. For renewable energy, private investors have shown eagerness to finance new solar and onshore/nearshore wind projects under the feed-in-tariff regime. The subsequent mechanisms will be market-based: auctions and direct power purchase agreements. Offshore wind projects allow the state-owned oil and gas industry to invest jointly with international private developers and reorient its strategy in response to the energy transition. Developing the green bond market is an opportunity for Vietnamese banks. State-owned enterprises can use them to raise money through non-sovereign debt. Finally, a gradual increase in electricity prices will improve the sector’s ability to finance the necessary power system expansion.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131100156","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 machine learning approach for calibrating seismic interval velocity in 3D velocity model","authors":"H. Le, D. Tran, Van Tien Nguyen, Dac The Nguyen","doi":"10.47800/pvj.2022.10-02","DOIUrl":"https://doi.org/10.47800/pvj.2022.10-02","url":null,"abstract":"Velocity model technique is routinely used to convert data from the time-to-depth domain to support prospect evaluation, reservoir modelling, well engineering, and further drilling operation. In Vietnam, the conventional velocity model building workflow oversimplifies the interval velocities as only well interval velocities are populated into 2D grids for depth conversion or oversimplified calibration interval velocities by applying a single scaling factor function. This study explores the 3D velocity model workflow to obtain accurate and high-resolution interval velocities using a machine learning approach for both fields A and B in Cuu Long basin, offshore Vietnam. \u0000To design an effective approach to depth conversion, the anisotropy factor analysis was performed to understand the differences between the seismic and well interval velocities in geological layer in the 3D structural model. The seismic interval velocity was multiplied by the anisotropy factor to achieve the scaling seismic interval velocity. The scaling seismic interval velocity, elastic attributes, geometric attributes, structural and stratigraphic attributes were used as training features (variables) for predicting interval velocity using the supervised learning algorithm in the machine learning model. Supervised learning offers an opportunity to develop an expert-knowledge-based automated system, which incorporates both domain knowledge and quantitative data mining [1]. The random forest regression algorithms were selected for predicting interval velocity after evaluating several machine learning algorithms. To provide insight into the uncertainty of final interval velocity, a depth uncertainty analysis was conducted using a blind well test for 24 wells and 7 horizons. \u0000The comprehensive 3D velocity model using machine learning approach was built for the first time in Cuu Long basin, offshore Vietnam. The result showed the machine learning algorithm can address the disadvantages of conventional velocity calibration to create highly accurate depth representations of the subsurface including a measure of the uncertainty.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122298038","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":"Structural - tectonic update of the central Vietnam margin based on analysis of the merged gravity - magnetic and regional seismic data","authors":"Thanh-Tùng Nguyễn, T. Nguyen, Đình Trọng Cao, Huy Hoàng Bùi, Văn Thành Dương, Quang Tuấn Nguyễn, Quang Huy Bùi, Danh Lam Nguyễn","doi":"10.47800/pvj.2022.09-02","DOIUrl":"https://doi.org/10.47800/pvj.2022.09-02","url":null,"abstract":"The central Vietnam margin is part of the western continental margin of the Vietnamese East Sea - the transition zone from the Indochina continental block to the true oceanic crust. In this paper, the authors present new results from merging and interpreting gravity and magnetic data from different sources in combination with 2D seismic and Ocean Drilling Program well data for the central Vietnam margin.The results illustrate the reliability of the merged gravity - magnetic data in regional structural analysis and tectonic division. Five structural layers are vertically identified and characterised by density and thickness. Spatially, six tectonic zones are defined with different Bourguer and magnetic anomaly background values: the boundaries between these zones are clearly delineated by sudden changes of these values. In addition, development signs and extent of the Tuy Hoa Shear Zone on basement rocks are also better resolved compared to the earlier seismic data.  ","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131202272","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":"Potential to develop carbon nanotubes from CO2-rich natural gas resources in Vietnam","authors":"Hữu Lương Nguyễn, M. Huỳnh, Mạnh Huấn Nguyễn, Phạm Noa Uy Đỗ, Thị Châu Giang Nguyễn, Ngọc Lương Đặng","doi":"10.47800/pvj.2022.09-05","DOIUrl":"https://doi.org/10.47800/pvj.2022.09-05","url":null,"abstract":"The Vietnam Petroleum Institute (VPI) has successfully synthesised carbon natotubes (CNTs) from CO2-rich natural gas using CVD technology with metallic thin-film plates as catalysts. The obtained products are multi-walled CNTs (2 - 6 layers) with high yield (CNTs content ~100%). CNTs can be prepared on thin-film plate catalysts from raw materials containing up to 30% CO2. The presence of heavier hydrocarbons (C2+) and H2S in the raw material mainly affects the morphology and structure of the formed CNTs, in which, H2S has the most impact and need to be controlled to ensure their desired properties and homogeneity.  According to preliminary calculation, CNTs market in Vietnam by 2030 is estimated of nearly 3,700 tons/year with gas demand of 13.5 million m3/year (net hydrocarbon); the production cost of CNTs from CO2-rich gas sources in Vietnam is about 0.5 USD/g, lower than the current cost in the domestic market (about 5 - 7 USD/g). Producing CNTs is potentially the way to effectively exploit and use Vietnam's CO2-rich natural gas resources, especially those from the Block B and Ca Voi Xanh gas fields.  ","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126075589","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":"Promoting co-operation and research for technology development, building an open innovation ecosystem to promote sustainable development of Vietnam Oil and Gas Group","authors":"Xuân Huyên Lê","doi":"10.47800/pvj.2022.09-01","DOIUrl":"https://doi.org/10.47800/pvj.2022.09-01","url":null,"abstract":"In the era of digital economy and industrial revolution 4.0, technology development is happening at a rapid pace along with the process of energy transition. Given the new situation, the Vietnam Oil and Gas Group (Petrovietnam) has focused on developing and implementing a comprehensive innovation strategy, in which Petrovietnam clearly defines the roadmap to develop the need-to-be-mastered, highly applicable technologies in line with the common strategic goals of production and business fields, building an \"open\" enterprise-centred innovation ecosystem to create breakthrough developments. Petrovietnam’s long-term science, technology and innovation programmes are associated with four strategic goals, which are: i) increasing reserves, maintaining production, and ensuring energy security; ii) efficiently using resources and infrastructure, and optimising production costs; iii) minimising environmental impacts; and iv) developing new fields.  ","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127322890","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}