ENRECAP roject Enhanced research capacity to meet VIETNAM future oil and gas challenges in Vietnam PETRO Petro ietnam An Official Publication of the Vietnam National Oil and Gas Group Vol 10 - 2017 ISSN-0866-854X EXPANDING OIL AND GAS EXPLORATION AND PRODUCTION AREAS PETROVIETNAM JOURNAL IS PUBLISHED MONTHLY BY VIETNAM NATIONAL OIL AND GAS GROUP ENRECA Project Enhanced research capacity to meet VIETNAM future oil and gas challenges in Vietnam PETRO Petro ietnam An Official Publication of the Vietnam National Oil and Gas Group Vol 10 - 2017 IISSN-0866-854XSSN-0866-854X EXPANDING OIL AND GAS EXPLORATION AND PRODUCTION AREAS EDITOR-IN-CHIEF Dr. Nguyen Quoc Thap DEPUTY EDITOR-IN-CHIEF Dr. Le Manh Hung Dr. Phan Ngoc Trung EDITORIAL BOARD MEMBERS Dr. Hoang Ngoc Dang Dr. Nguyen Minh Dao BSc. Vu Khanh Dong Dr. Nguyen Anh Duc MSc. Tran Hung Hien MSc. Vu Van Nghiem MSc. Le Ngoc Son Eng. Le Hong Thai MSc. Nguyen Van Tuan Dr. Phan Tien Vien Dr. Tran Quoc Viet Dr. Nguyen Tien Vinh Dr. Nguyen Hoang Yen SECRETARY MSc. Le Van Khoa M.A. Nguyen Thi Viet Ha DESIGNED BY Le Hong Van MANAGEMENT Vietnam Petroleum Institute CONTACT ADDRESS Floor M2, VPI Tower, Trung Kinh street, Yen Hoa ward, Cau Giay district, Ha Noi Tel: (+84-24) 37727108 * Fax: (+84-24) 37727107 * Email: [email protected] Mobile: 0982288671 Cover photo: Cam Lam - Nha Trang. Photo: Le Khoa Publishing Licence No. 100/GP-BTTTT dated 15 April 2013 issued by Ministry of Information and Communications FOCUS FOCUS Prime Minister Nguyen Xuan Phuc: Deputy Prime Minister Trinh Dinh Dung: PETROVIETNAM TO STAND FIRM IN THE DUNG QUAT REFINERY IS THE LEVER MIDST OF DIFFICULTIES OF QUANG NGAI’S ECONOMY On 19 October 2017, eporting to the Deputy capacity (106 - 108% on average). Prime Minister, General BSR has focused on implementing On 12 October 2017, at the Government’s headquarters, Prime Minister Nguyen Deputy Prime Minister Trinh RDirector of BSR Tran solutions to optimise production Xuan Phuc worked with key leaders of the Vietnam Oil and Gas Group to evaluate Dinh Dung paid a working Ngoc Nguyen said Dung Quat operation; promoting scientific the results of implementation of the production and business plan in 2017 and the visit to Binh Son Refining and Refinery has always been operating research, with primary emphasis deployment of key oil and gas projects. Petrochemical Co. Ltd. (BSR). stably, reaching the optimal on energy savings, and optimising 4 PETROVIETNAM - JOURNAL VOL 10/2017 8 PETROVIETNAM - JOURNAL VOL 10/2017 4 8 SCIENTIFIC RESEARCH PETROLEUM EXPLORATION & PRODUCTION PETROLEUM PROCESSING PETROLEUM ECONOMICS & MANAGEMENT 14. Application of deep learning in 51. Testing antibacterial effect of 59. Energy efficiency in predicting fracture porosity silver nanoparticles Vietnamese enterprises: The on sulfate-reducing bacteria predominance of gas consumers 23. Different forms of Gassmann equation and implications for the estimation of rock properties 30. Merging of 3D seismic data 40. Quick pre-stack seismic inversion to predict reservoir properties at a gas and condensate field in Nam Con Son basin 45. Application of geochemical technique to reduce allocation cost for commingled production wells from multiple reservoirs CONTENTS FOCUS PETROLEUM EXPLORATION & PRODUCTION APPLICATION OF DEEP LEARNING IN PREDICTING FRACTURE Prime Minister Nguyen Xuan Phuc: POROSITY Pham Huy Giao, Kushan Sandunil Geo-exploration & Petroleum Geoengineering Program, Asian Institute of Technology (AIT) Petrovietnam to stand firm in the midst of difficulties .............................4 Email: [email protected] Summary Deep learning (DL) neural network analysis is the latest development from the Artificial Neural Network (ANN) and it is being used more and more in petroleum engineering. In this study, the way to develop a new DL model for well log analysis was attempted and Deputy Prime Minister Trinh Dinh Dung: successfully implemented using well log data from a location in the Cuu Long basin, Vietnam. Three sets of analyses were conducted, i.e., the first analysis set with a single hidden layer ANN model, the second analysis set with multiple hidden layer ANN modeland the third with a DL neural network model. The DL-predicted porosity for a fractured granite basement reservoir of an oil field in the Cuu Long Dung Quat Refinery is the lever of Quang Ngai’s economy ..................8 basin was found in the range from 0.0 to 0.082, showing a good match with the conventionally-calculated values. The final deep earningl model consists of 5-input layers of gamma ray (GR), deep resistivity (LLD), sonic (DT), density (RHOB) and neutron porosity (NPHI), having 5 hidden neuron layers with 14 neurons per layer. It is worth noting that the transfer function of the rectified linear unit (ReLU), typical for a deep learning analysis, was implemented to replace the common sigmoidal transfer function, ensuring the successful application of DL model. Last but not least, the problem of vanishing gradient specific for a DL neural network model was also explained indetails in PVEP and FPT co-operate this paper. Key words: Deep Learning (DL), Artificial Neural Network (ANN), fracture porosity, well log analysis, fractured granite basement, Cuu Longbasin. in research and development of new technologies ..........................11 1. Introduction complex version of artificial neural networks. It is now widely used in image recognition, voice processing and language translation. The concept of soft computing was first put forward by a paper named “Possibility Artificial neural networks are used to build a connection between theory and soft data analysis” [1]. While input and output data that helps predict the outputs of a set of new NEWS hard computing needs a precisely defined inputs (Figure 1). analytical model, soft computing is tolerant Application of deep learning in petrophysics is still in its infancy of uncertainty, imprecision, approximation stage. Classic neural networks commonly use one hidden layer, whereas and partial truth. This is a method designed deep learning uses multiple hidden layers. The use of multiple hidden to model and solve real world problems, layers can cause a phenomenon called vanishing gradient problem. Negotiations on Ca Voi Xanh project to be sped up .........................68 which cannot be modelled mathematically. Deep learning network is obtained by eliminating this problem. The concept of soft computing was designed based on the concept of human Input layer Hidden layer brain functioning. X1 Σ Soft computing consists of few principal Nhon Trach 2 Power Plant components as listed below [2]: X2 Σ - Fuzzy logic; Output layer reaches production milestone of 30 billion kWh .................................68 X Σ Σ k - Evolutionary computation; 3 - Neural computing; X4 Σ Activation Transfer - Probabilistic reasoning. function function Petrovietnam co-operates with potential partners ANN has been developed to simulate X5 Σ the neural structure and activity of the Activation Transfer human brain. Deep learning (DL) is a function function Figure 1. Architecture of an ANN to manufacture polyester fiber ..........................................................69 Date of receipt: 21/8/2017. Date of review and editing: 21/8 - 5/9/2017. Date of approval: 4/10/2017. 14 PETROVIETNAM - JOURNAL VOL 10/2017 14 Petrovietnam and PVEP sign outsourcing contract for operation of Blocks 01 & 02 ..........................................................70 VPI signs co-operation agreement with Industrial University of Tyumen ....................................................70 Amended gas sales and purchase and transportation contracts signed for Block 06-1, Nam Con Son basin .........................................71 Proposed measures to boost production in Bir Seba project, Algeria ................................................................72 Phu My Fertilizer Plant meets target 2 months ahead of schedule ......72 KVT meets LPG and Bach Ho condensate production targets ahead of time .......................................................................73 Ca Mau Gas Processing Plant supplies first LPG shipment ..................73 30 FOCUS Prime Minister Nguyen Xuan Phuc: PETROVIETNAM TO STAND FIRM IN THE MIDST OF DIFFICULTIES On 12 October 2017, at the Government’s headquarters, Prime Minister Nguyen Xuan Phuc worked with key leaders of the Vietnam Oil and Gas Group to evaluate the results of implementation of the production and business plan in 2017 and the deployment of key oil and gas projects. 4 PETROVIETNAM - JOURNAL VOL 10/2017 PETROVIETNAM Prime Minister Nguyen Xuan Phuc works with key leaders of the Vietnam Oil and Gas Group. Photo: Quang Hieu/VGP t the meeting, the Prime of the country. Especially, the Prime In addition, Petrovietnam produced Minister confi rmed that Minister highly appreciated the great 8.25 billion m3 of gas, 17.09 billion Athe oil and gas sector contribution of Petrovietnam to the kWh of electricity, 1.48 million tons of plays an important role in socio- State Budget even in the diffi cult urea (exceeding the plan by 10.6%), economic development and has period. and 5.03 million tons of petroleum made huge contributions to the products (exceeding the plan by According to Petrovietnam’s national economy. 20.7%). President and CEO Nguyen Vu Truong Throughout the development Son, the Group’s production and With average oil price reaching process, the Party and the State business targets were all overfulfi lled USD 54.3/barrel, the total revenue of have given guidance by