http://tapchidaukhi.com/index.php/TCDK/issue/feed Petrovietnam Journal 2022-11-07T08:57:03+00:00 Petrovietnam Journal tcdk@pvn.vn Open Journal Systems http://tapchidaukhi.com/index.php/TCDK/article/view/886 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 2022-11-02T09:53:05+00:00 Thi Hai Quan Vo quanvth@vpi.pvn.vn Huy Giao Pham giaoph@vpi.pvn.vn <p>&nbsp; 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.</p> <p>&nbsp;</p> <p>In 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.</p> 2022-11-01T00:00:00+00:00 Copyright (c) http://tapchidaukhi.com/index.php/TCDK/article/view/887 A machine learning approach for calibrating seismic interval velocity in 3D velocity model 2022-11-02T09:53:04+00:00 Hong Quan Le quanlh.hq@vietsov.com.vn Dong Tran x@gmail.com Van Tien Nguyen x@gmail.com Dac The Nguyen x@gmail.com <p class="chuthichanh" style="text-indent: 17.0pt; margin: 2.85pt 0in 2.85pt 0in;"><span lang="EN-US" style="font-size: 12.0pt; font-style: normal;">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.</span></p> <p class="chuthichanh" style="text-indent: 17.0pt; margin: 2.85pt 0in 2.85pt 0in;"><span lang="EN-US" style="font-size: 12.0pt; font-style: normal;">To 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.</span></p> <p class="chuthichanh" style="text-indent: 17.0pt; margin: 2.85pt 0in 2.85pt 0in;"><span lang="EN-US" style="font-size: 12.0pt; font-style: normal;">The 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.</span></p> 2022-11-01T00:00:00+00:00 Copyright (c) http://tapchidaukhi.com/index.php/TCDK/article/view/888 A successful pilot application of the complex mixture surfactant polymer VPI SP to enhance oil recovery factor for the Lower Miocene, Bach Ho field 2022-11-02T09:53:04+00:00 Duc Huy Dinh huydd@vpi.pvn.vn Minh Quy Nguyen x@gmail.com Truong Giang Pham x@gmail.com Long Hoang x@gmail.com Thi Thu Huong Le x@gmail.com Thi Viet Nga Cu x@gmail.com Xuan Son Pham x@gmail.com Lam Anh Nguyen x@gmail.com Nam Chung Ho x@gmail.com Trung Son Pham x@gmail.com Quynh Huy Nguyen x@gmail.com Thanh Nam Tran x@gmail.com <p class="chuthichanh" style="text-indent: 17.0pt; margin: 2.85pt 0in 2.85pt 0in;"><span lang="EN-US" style="font-size: 12.0pt; font-style: normal;">Enhanced oil recovery (EOR) implementation at field scale is complex. Therefore, pilot applications are usually conducted before field execution. This paper introduces a pilot project successfully applied for the Lower Miocene, Bach Ho field. Topics covered include: (i) pilot area selection, (ii) chemical preparation, (iii) specification and pilot design for execution, (iv) implementation, (v) pilot observation and interpretation, (vi) efficiency evaluation. The implementation of pilot projects is achieved on 23 January 2022. The evaluation shows that 2,700.2 tons of oil gained thanks to the application of the surfactant-polymer complex mixture (VPI SP). </span></p> 2022-11-01T00:00:00+00:00 Copyright (c) http://tapchidaukhi.com/index.php/TCDK/article/view/889 Analysing the effect of bedding plane orientation on the wellbore failure 2022-11-02T09:53:04+00:00 Van Hung Nguyen hung.nguyenvan1@phenikaa-uni.edu.vn Hai Linh Luong x@gmail.com <p class="chuthichanh" style="text-indent: 17.0pt; margin: 2.85pt 0in 2.85pt 0in;"><span lang="EN-US" style="font-size: 12.0pt; font-style: normal;">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 60<sup>o</sup> - 90<sup>o</sup>, and the azimuth changes from 100<sup>o</sup> - 165<sup>o</sup>.</span></p> 2022-11-01T00:00:00+00:00 Copyright (c) http://tapchidaukhi.com/index.php/TCDK/article/view/890 Application of gas-assisted gravity drainage (GAGD) to improve oil recovery of Rang Dong basement reservoir 2022-11-02T09:53:04+00:00 Kien Trung Nguyen nguyen.kien.trung@jvpc.com.vn Minh Dung Ha x@gmail.com <p class="chuthichanh" style="text-indent: 17.0pt; margin: 2.85pt 0in 2.85pt 0in;"><span lang="EN-US" style="font-size: 12.0pt; font-style: normal;">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. </span></p> <p class="chuthichanh" style="text-indent: 17.0pt; margin: 2.85pt 0in 2.85pt 0in;"><span lang="EN-US" style="font-size: 12.0pt; font-style: normal;">The 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.</span></p> 2022-11-01T00:00:00+00:00 Copyright (c) http://tapchidaukhi.com/index.php/TCDK/article/view/891 VPI-Mlogs: A web-based machine learning solution for applications in petrophysics 2022-11-02T09:53:04+00:00 Anh Tuan Nguyen tuan.a.nguyen@vpi.pvn.vn <p class="chuthichanh" style="text-indent: 17.0pt; margin: 2.85pt 0in 2.85pt 0in;"><span lang="EN-US" style="font-size: 12.0pt; font-style: normal;">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. </span></p> 2022-11-01T00:00:00+00:00 Copyright (c) http://tapchidaukhi.com/index.php/TCDK/article/view/892 Omniphobic carbon steel surface with good wax-repellent performance 2022-11-02T09:53:03+00:00 Van Kiet Nguyen kietnv@pvu.edu.vn Thi Phuong Nhung Nguyen nhungntp@pvu.edu.vn Thu Hang Tran x@gmail.com Hoang Luong Nguyen x@gmail.com <p class="chuthichanh" style="text-indent: 17.0pt; margin: 2.85pt 0in 2.85pt 0in;"><span lang="EN-US" style="font-size: 12.0pt; font-style: normal;">In this report, superhydrophobic and omniphobic coatings were produced by a combination of creating a ZnO micro/nanostructure on the carbon steel surface and coating a low surface energy material. Before reducing the surface energy with 1H, 1H, 2H, 2H-perfluorodecyltriethoxysilane, the steel surface was electrodeposited by a micro/nanostructured ZnO layer for a controlled deposition time. The process resulted in the steel surfaces being superhydrophobic (contact angle of 165 ± 2<sup>o</sup>) and omniphobic with white oil, diesel oil (contact angle of 135 ± 2<sup>o</sup>) and paraffin (contact angle of 127 ± 2<sup>o</sup>). The properties of superhydrophobic/omniphobic steel surfaces were then fully analysed by SEM, XRD, FTIR and contact angle measurements. </span></p> 2022-11-01T00:00:00+00:00 Copyright (c) http://tapchidaukhi.com/index.php/TCDK/article/view/893 A study on financial mechanisms to develop the power system in Vietnam 2022-11-02T09:53:03+00:00 Duong Minh Ha minh.haduong@vietse.vn <p class="chuthichanh" style="text-indent: 17.0pt; margin: 2.85pt 0in 2.85pt 0in;"><span lang="EN-US" style="font-size: 12.0pt; font-style: normal;">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. </span></p> 2022-11-01T00:00:00+00:00 Copyright (c) http://tapchidaukhi.com/index.php/TCDK/article/view/894 Integration of local knowledge in the development of environmental sensitivity maps 2022-11-02T09:53:03+00:00 Vi Sa Tu satv@pvn.vn <p class="chuthichanh" style="text-indent: 17.0pt; margin: 2.85pt 0in 2.85pt 0in;"><span lang="EN-US" style="font-size: 12.0pt; font-style: normal;">The environmental sensitivity maps would be envisaged as an elaborated scheme exchanging knowledge among numerous stakeholders at decision-making and execution levels. Local knowledge, scientific knowledge and public knowledge are required to associate toward the development of environmental sensitivity maps, particularly the identification of shoreline types and its sensitivity; compiling biology, human-use resource information; ranking, prioritising sensitive sites and resources at risk. Especially, the value of local knowledge has been recognised over time and the need for its effective integration into research and development has grown significantly. One of the options to enhance the role of this knowledge should be participatory tools emphasising researchers-facilitation to obtain indigenous perceptions as well as increase environmental sensitivity maps adoption in the planning, regulatory community in islands and coastal areas.</span></p> 2022-11-01T00:00:00+00:00 Copyright (c) http://tapchidaukhi.com/index.php/TCDK/article/view/895 KPI as a tool to consolidate internal management competence - Practice at PVEP 2022-11-07T08:57:03+00:00 Mai Huong Phung huongpm@pvep.com.vn Quang Vinh Dang x@gmail.com <p class="chuthichanh" style="text-indent: 17.0pt; margin: 2.85pt 0in 2.85pt 0in;"><span lang="EN-US" style="font-size: 12.0pt; font-style: normal;">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. </span></p> 2022-11-01T00:00:00+00:00 Copyright (c)