Well Group Connectivity Relations Discriminate Based on CART Algorithm

2014 ◽  
Vol 513-517 ◽  
pp. 1252-1255
Author(s):  
Ji Sheng Liang ◽  
Wei Zheng ◽  
Zi Bo Yuan

Up to now, the common method of reservoir well group that is dynamic connectivity, it mainly includes tracer testing, stress testing, well testing, and numerical simulation. The implementation of these methods is more complex, expensive, high cost, and will affect the normal production of the oilfield. Because of the convenient injection and dynamic data it can get convenient. This paper presents a method that using dynamic reservoir development data inverse well group connectivity. CART algorithm analysis and extraction of potential knowledge from the oilfield development. It establish direct mapping of logging data and well group connectivity relationship. Experiments show that using dynamic data to study well group connectivity relationship can greatly reduce the cost and as a result has a higher accuracy.

2014 ◽  
Vol 1073-1076 ◽  
pp. 2282-2285
Author(s):  
Xiao Hua Wang

Well testing engineering design must be completed according to the geological and engineering tasks and the actual condition of the well before logging, and then the test preparation completes according to the design. The whole construction process is carried out in accordance with the engineering design, For the complex test cases, it is need to adjust the testing process according to the basis data of engineering design and actual situation, engineering design is very important for the construction of production profile testing of horizontal wells. Engineering design can improve the test efficiency, ensure the accuracy of test data and test safety, reduce the cost of testing. This paper analyzed the role of engineering design in the testing construction and expounds the influence of engineering design for test construction by way of example.


2021 ◽  
Vol 11 (2) ◽  
pp. 59-73
Author(s):  
A.V. Panteleev ◽  
I.A. Belyakov

This article discusses the development of software that allows to simulate the algorithm of the “Grey Wolf Optimizer” method. This algorithm belongs to the class of metaheuristic algorithms that allow finding a global extremum on a set of admissible solutions. This algorithm is being the most efficiently used in a situation where the cost function is specified in the form of a black box. The algorithm belongs to both bioinspired algorithms and to the class of algorithms of Particle Swarm Optimization. To analyze the efficiency of the algorithm, software was created that allows to vary the parameters of the method. The article contains examples of the program’s work on various test functions. The purpose of the program is to collect and analyze statistical results, making possible to evaluate the final result. The program provides to build graphs that make it possible to make a more thorough assessment of the results obtained. The program has a step-by-step function that allows one to analyze the specifics and features of the algorithm. Analysis of statistical data provides more detailed selection of the parameters of the algorithm.


2021 ◽  
Author(s):  
Talal Al-Aulaqi ◽  
Hussain Al Bulushi ◽  
Hashim Al Hashmi ◽  
Sultan Al Amri ◽  
Ali Al Habsi ◽  
...  

Abstract Over the last 50 years, thermal EOR has been an effective method for reducing the viscosity of and recovering heavy oil from deep reservoirs. In mature thermal EOR projects, conformance is one of the main challenges for maximizing reserves and meeting long-term production expectations. In this paper, Occidental presents a novel pilot to address thermal conformance in the Mukhaizna field in Oman. This is a thermal EOR operation in deep reservoirs (> 2,000 ft) with extremely high viscosity (>10,000 cp) in harsh desert conditions with temperatures exceeding 500°F. The pilot area is a mature thermal area with 15 years of continuous steamflood operations. The novel conformance technique, based on a combination of chemical and zonal mechanical isolation systems, was developed in-house in a low oil price environment. The pilot area consists of multiple reservoir zones that have undergone vertical steam injection since 2005. Thermal conformance has emerged as a challenge because more than 60% of the injected steam has been preferentially entering the high-permeability zones, with only 40% of the steam entering the other zones, which hold a larger amount the remaining oil. The subsurface and well engineering teams collaborated to design a rigless operation using dual coiled tubing units, one for cooling water and one pumping a chemical gelation recipe that gels at a certain trigger gelation temperature at the target zone. Zonal isolation of the reservoir is achieved using a novel inflatable packer triggered mechanically by ball gravitation through coiled tubing at 500°F and retrieved after the temporary zonal isolation. The well and reservoir surveillance included gathering data for injectivity assessment, vertical injection logging, temperature profiles, tracer tests in offset producers, and well testing for determining water cut. The pilot improved vertical conformance, as injection logging showed 40% steam reduction was achieved in the target zone, and more steam was re-allocated to the shallow zones. In addition, there was a water cut reduction of more than 20% in offset producers, and oil production tripled over a period of 3 months, which paid back the cost of the pilot and generated positive cash flow. To our knowledge, based on an SPE literature search, this is the first successful thermal conformance operation conducted with the following combination of technologies: 1) Placing a novel chemical recipe through temporary zonal isolation with an inflatable packer, and 2) Using rigless operation of coiled tubing units at harsh conditions of >500°F and high pressure >1000 psi. The outcomes open a new frontier for thermal EOR development in multi-stack reservoirs, offering better utilization of steam injection and improving mobility control over the field life cycle. The cost of the pilot project was paid off in the first 6 weeks, and all chemicals used were developed in an eco-friendly system.


2010 ◽  
Vol 439-440 ◽  
pp. 1277-1280
Author(s):  
Hong Jun Guan

With the development of information technology, as the basis of economic accounting of the companies, it is possible for team cost accounting to be provided with various of basic data collection, data processing and sharing of such data. First of all, the related technology is introduced, then combined with the production process of C4 workshop, it described the analysis result and scheme. In this process, obtaining dynamic data from production equipment is the first step, then according to different devices and various requirements of product cost accounting, calculate the cost for each team, and finally realize the need for assessment of the teams.


2013 ◽  
Vol 734-737 ◽  
pp. 1395-1399
Author(s):  
Nan Ning Wei ◽  
Liu Shuai Su

With the Alkaline-surfactant-polymer (ASP) flooding production processs developing, deposition and scaling problems are serious in ground watering and gathering system, pronounced at watering pipeline and heating furnace. So challenges must be faced with in oilfield development process, such as energy consumption increase, equipments and pipelines are damaged easily, and equipments service life shortens. The component of scale sample, which is took from ASP flooding area of Xingbei Oilfield in Daqing Oilfield, in surface watering system is investigated. The influence factors and regulation of scaling in watering system are studied by simulation experiments. It turned out that the scale sample is consists of silica scale, carbonate scale, corrosion scale and organic substance, and the silica scale is the main scale, which content is more than 45%. The watering temperature, flow rate and polymer concentration are main factors of influencing scaling in watering system. Under the conditions of ASP flooding normal production, the effect of polymer concentration is prominent.


2004 ◽  
Vol 126 (3) ◽  
pp. 177-183 ◽  
Author(s):  
P. Mehdizadeh ◽  
D. T. Perry

Well testing is routinely performed to evaluate the performance of a well, which establishes the allocation factor for the lease, which in turn establishes tax and royalty basis. Most well testing is done with conventional gravity separators, which separates the produced stream into oil, water, and gas components and measures these individual components as individual streams. New multiphase measurement technology improves well test results through improved accuracy, consistency, and more frequent well testing. This paper examines the implication of these improved capabilities to recognize well problems and optimize production. A simple economic model is provided that an operator can use to assess the balance between the cost of performing periodic well tests and the benefits of more quickly discovering well problems that can result in less than expected production. The model relates the cost of decreased production, as the result of unforeseen changes in the well, to the frequency and accuracy of the well tests. The model derives an optimum test interval that minimizes the total cost of well testing and deferred production on the basis of the probability that a higher than normal decline in production rate can be detected by well testing. The model is then used in several field examples to assess the optimum period between well tests and how the optimum period can lead to reduced cost of operation and improved production.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Jian Dong ◽  
Yu Chen ◽  
Aihua Gu ◽  
Jingwei Chen ◽  
Lili Li ◽  
...  

How to reduce the cost of competition in the industry, identify effective customers, and understand the emotional needs and consumer preferences of customers, so as to carry out fast and accurate commercial marketing, is an important research topic. In this paper, we discussed the method for the analysis of three product data which represent the customer-supplied ratings and reviews for microwave ovens, baby pacifiers, and hair dryers sold in the Amazon marketplace over the time period. The sentiment analysis, linear regression analysis, and descriptive statistics were implemented to analyze the three datasets. Based on the sentiment analysis given by the naive Bayesian classification algorithm, we found that the star rating is positively correlated with the reviews, while the helpfulness ratings have no specific relationship with the star rating and reviews. We use multiple regression analysis and clustering algorithm analysis to get the relationship between the 4 indexes such as time, star rating, reviews, and helpfulness rating. We find that there is a positive correlation between the 4 indexes, and the reputation of the product online market is improving as time grows. Based on the analysis of the positive reviews and star ratings, we suggested indicating a potentially successful or failing product by the positive reviews. We also discussed the relations between the star ratings and number of reviews. Finally, we selected the words from the Amazon sentiment dictionary as candidate words. By counting the candidate words’ appearance in the review, the keywords that can reflect the star rating were found.


2009 ◽  
Vol 17 (1) ◽  
pp. 14-20 ◽  
Author(s):  
Maria Cristina Cescatto Bobroff ◽  
Pedro A. Gordan ◽  
Mara Lúcia Garanhani

Innovative changes in undergraduate Nursing programs have brought about new methodologies and the need for cost evaluation. This study aims to develop a model for cost estimation, and to estimate educational costs of an integrated Nursing curriculum at a public university. This is a case study conducted in stages: model development, data collection, analysis and interpretation. The cost-construction model consisted of six steps: data collection; educational and support activity costs; four-year course educational costs; educational support costs; joint product costs and total educational costs. Findings showed a total educational cost per student/year US$ 3,788.82. Course team faculty included 97 members. The cost analysis in faculty contact hours is the most appropriate cost unit as it most consistently reflects faculty time devoted to teaching. The knowledge about educational costs provided information that may be useful for a different approach to the integrated curriculum management, with a view to putting its educational objectives in practice.


Author(s):  
P. Mehdizadeh ◽  
D. T. Perry

Well testing is routinely performed to evaluate the performance of a well, which establishes the allocation factor for the lease, which in turn establishes tax and royalty basis. Most well testing is done with conventional gravity separators, which separates the produced stream into oil, water, and gas components and measures these individual components as individual streams. New multiphase measurement technology improves well test results through improved accuracy, consistency, and more frequent well testing. This paper examines the implication of these improved capabilities to recognize well problems and optimize production. A simple economic model is provided that an operator can use to assess the balance between the cost of performing periodic well tests and the benefits of more quickly discovering well problems that can result in less than expected production. The model relates the cost of decreased production, as the result of unforeseen changes in the well, to the frequency and accuracy of the well tests. The model derives an optimum test interval that minimizes the total cost of well testing and deferred production on the basis of the probability that a higher than normal decline in production rate can be detected by well testing. The model is then used in several field examples to assess the optimum period between well tests and how the optimum period can lead to reduced cost of operation and improved production.


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