scholarly journals Decision-Making for Well Liquid Control Based on A New Oil Production Index

2021 ◽  
Vol 859 (1) ◽  
pp. 012011
Author(s):  
Depei Shi ◽  
Songjiang Dou ◽  
Lianmin Li ◽  
Tao Li ◽  
Min Jing
Keyword(s):  
Decision Making ◽  
Oil Production ◽  
Production Index

The Design of Decision Supporting System in Oil Production Project of Oilfield

2012 ◽  
Vol 457-458 ◽  
pp. 974-978
Author(s):  
Yi Yong Sui ◽  
Qing Wang Yuan ◽  
Tai Xiang Peng ◽  
Jian Lei Yang ◽  
Gui Shan Ren
Keyword(s):  
Decision Making ◽  
Oil Production ◽  
Supporting System ◽  
Model Base ◽  
Decision Supporting ◽  
Base Method ◽  
Decision Supporting System ◽  
Evaluation Decision ◽  
S Model

The compilation of oil production project of oilfield is a huge and complex decisions making process, which involves multi-properties, multi-objectives problems. Considering the fact that the traditionally empirical methods already couldn’t meet the requirements such as scientific, advanced, and economic, we divide the decision making problems in oil production project into two categories: predictable decision making and evaluation decision making. Based on the characteristics of these two types of problems, we design the decision supporting system in oil production project of oilfield, which use B/S model, composing by model base, method base, database, and user interface. This system made full use of the history data of oilfield, improved the value of data, and greatly enriched the decision making methods for oil production project compilation. It also made the decisions more reasonable and improved the quality of project.

Production-sharing contracts and decision-making in oil production

1993 ◽  
Vol 15 (4) ◽  
pp. 245-256 ◽  
Author(s):  
Purnomo Yusgiantoro ◽  
Frank S.T. Hsiao
Keyword(s):  
Decision Making ◽  
Oil Production ◽  
Production Sharing

scholarly journals Economic Turmoil - Oil Prices and the Middle East Crisis

2018 ◽  
Vol III (I) ◽  
pp. 71-80
Author(s):  
Muhammad Zia-Ur Rehman ◽  
Zahid Bashir ◽  
Asia Baig
Keyword(s):  
Decision Making ◽  
Middle East ◽  
Policy Making ◽  
Investment Decisions ◽  
Oil Prices ◽  
Oil Production ◽  
Financial Decision Making ◽  
The World ◽  
Financial Decision ◽  
The Government

This study focuses on Economic turmoil due to issues of the Middle East and its relation to oil prices, hence transposing the crisis to other economies of the world. A qualitative and logical resigning technique is used during the study. The author finds that the Middle East has a lot of issues related to oil prices, oil production. Most important are wars and conflicts within the region, terrorism, radicalism, the influence of US in the region, week government, and issues of politics. This study provides information to the government in policy making, in investment decisions, in politics and in financial decision making related to oil prices and its production in the region

Non-Simulation Enhanced Oil Recovery Technique Screening in X and Y Fields Using a Combination of Analytical Hierarchy Process and Technique for Order of Preference by Similarity to Ideal Solution

2021 ◽  
Author(s):  
Sunni Nugraha Priadi ◽  
Hadi Ismoyo ◽  
Alexandra Sinta Wahjudewanti
Keyword(s):  
Decision Making ◽  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Technology Implementation ◽  
Oil Production ◽  
Simulation Method ◽  
Multi Criteria Decision Making ◽  
Initial Stage ◽  
Recovery Technique ◽  
Decision Making Model

Abstract The X and Y fields are among the oil fields in the Java basin, Indonesia. As oil production decreases due to exploitation activities in X and Y fields, it is necessary to carry out activities to increase production. To increase the yield of its oil production, Enhanced Oil Recovery (EOR) technology is needed. Enhanced oil recovery (EOR) technique screening analysis is needed to be carried out at the initial stage of the feasibility study in the EOR project. At present, there is no fully established method for identifying potential candidates for the EOR technique. The most common approach for selecting EOR techniques is conventional filtering, which is generally based on the "go-no go" trial and error, with a reduced chance of success. Besides, determining potential candidates for EOR techniques often uses a reservoirsimulation approach, but this is time-consuming and requires high costs in using the software license. EOR technique screening with a method that explains how to form a multi-criteria decision-making model with a combination of AHP and TOPSIS methods together as a systematic and measurable method to get the best EOR techniques in both X and Y fields. The research results found that the CO2Immiscible Technique was the most appropriate for EOR in fields X and Y because it has the highest preference value (0.676), is then followed by the Micellar technique (preference value 0.645) and HC Immiscible (preference value 0.517). With the multi-criteria decision-making technique, the best EOR technique results are obtained. Then the proposal can provide valuable recommendations for company management in both fields X and Y with a faster, accurate, and inexpensive method compared to the reservoir simulation method, which has a longer processing time and more expensive costs. This technique can support technology implementation decision-making in the early stages of EOR project development.

scholarly journals Modelling approach for multi-criteria decision-making selection process for artificial lift systems in crude oil production

2018 ◽  
Vol 8 (1) ◽  
pp. 53-60
Author(s):  
Javier Duran-Serrano
Keyword(s):  
Decision Making ◽  
Crude Oil ◽  
Selection Process ◽  
Oil Production ◽  
Final Decision ◽  
Multi Criteria Decision Making ◽  
Software Application ◽  
Artificial Lift ◽  
Crude Oil Production ◽  
Key Factor

Artificial Lift system selection is a key factor in enhancing energy efficiency, increasing profit and expanding asset life in any oilproducing well. Theoretically, this selection has to consider an extensive number of variables, making hard to select the optimal Artificial Lift System. However, in practice, a limited number of variables and empirical knowledge are used in this selection process. The latter increases system failure probability due to pump – well incompatibility. The multi-criteria decision-making methods present mathematical modelling for selection processes with finite alternatives and high number of criteria. These methodologies make it feasible to reach a final decision considering all variables involved.In this paper, we present a software application based on a sequential mathematical analysis of hierarchies for variables, a numerical validation of input data and, finally, an implementation of Multi-Criteria Decision Making (MCDM) methods (SAW, ELECTRE and VIKOR) to select the most adequate artificial lift system for crude oil production in Colombia. Its novel algorithm is designed to rank seven Artificial Lift Systems, considering diverse variables in order to make the decision. The results are validated with field data in a Casestudy relating to a Colombian oilfield, with the aim of reducing the Artificial Lift Failure Rate.

scholarly journals Multi-Criteria Decision Making (MCDM) Model for Supplier Evaluation and Selection for Oil Production Projects in Vietnam

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 134 ◽  
Author(s):  
Chia-Nan Wang ◽  
Hsiung-Tien Tsai ◽  
Thanh-Phong Ho ◽  
Van-Thanh Nguyen ◽  
Ying-Fang Huang
Keyword(s):  
Decision Making ◽  
Business Strategy ◽  
Economic Value ◽  
Oil Production ◽  
Complex Problem ◽  
Supplier Evaluation ◽  
Multi Criteria Decision Making ◽  
Scor Model ◽  
Decision Making Unit ◽  
The Right

The following research utilizes Multi-Criteria Decision Making (MCDM) in order to build a business strategy to reduce product costs, improve competitiveness, focus on production planning based on actual operating capacity and flexible adjustment according to the market, maximize the labor productivity of technology workshops, reduce costs and inventory, and focus on producing many petrochemical products and products of high economic value. Selecting the right materials supplier is of paramount importance to the success of the organization as a whole. Supplier evaluation and the selection of a suitable supplier is a complex problem in which the decision maker must consider both qualitative and quantitative factors. Multi-Criteria Decision Making Models are an effective tool used to solve complex selection issues including multiple criteria and options, especially for qualitative variables. Thus, the author proposes an MCDM model including the Supply Chain Operation Reference (SCOR) model, analytic hierarchy process (AHP) and the Data Envelopment Analysis (DEA) method to evaluate and select the optimal supplier in the oil industry. The criteria used to evaluate potential suppliers are determined through the SCOR model, the weight of all criteria are defined by the AHP model through an expert’s opinion, and DEA is used to rank providers at the final stage. After the model implementation and the results, decision-making unit DMU_01, DMU_04 and DMU_10 are shown to be the best suppliers. This research provides a Multi-Criteria Decision Making model for supplier evaluation and selection in oil production projects. This research also presents useful guidelines for supplier selection processes in other industries.

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