The SPE has split the former "Management & Information" technical discipline into two new technical discplines:
- Data Science & Engineering Analytics
The SPE has split the former "Management & Information" technical discipline into two new technical discplines:
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Guan, Xu (Exploration and Development Research Institute of PetroChina Southwest Oil & Gasfield Company, Chengdu, China) | Zhu, Deyu (Exploration and Development Research Institute of PetroChina Southwest Oil & Gasfield Company, Chengdu, China) | Tang, Qingsong (PetroChina Southwest Oil & Gasfield Company, Chengdu, China) | Wang, Xiaojuan (Exploration and Development Research Institute of PetroChina Southwest Oil & Gasfield Company, Chengdu, China) | Wang, Haixia (Exploration and Development Research Institute of PetroChina Southwest Oil & Gasfield Company, Chengdu, China) | Zhang, Shaomin (Exploration and Development Research Institute of PetroChina Southwest Oil & Gasfield Company, Chengdu, China) | Deng, Qingyuan (Exploration and Development Research Institute of PetroChina Southwest Oil & Gasfield Company, Chengdu, China) | Yu, Peng (Exploration and Development Research Institute of PetroChina Southwest Oil & Gasfield Company, Chengdu, China) | Yu, Kai (Exploration and Development Research Institute of PetroChina Southwest Oil & Gasfield Company, Chengdu, China) | Huang, Xingning (Downhole service company of Xibu Drilling Engineering Company Limited, Karamay, China) | Xu, Hanbing (CNPC, International HK LTD Abu Dhabi, Abu Dhabi, UAE)
Abstract In recent years, tight sandstone gas as one of the important types of unconventional resources, has been rapid explored and developed. There are large-scale tight sandstone gas production in Sichuan Basin, Ordos Basin, Bohai Bay Basin, Songliao Basin and other basins, and it has become a key part in the area of increasing gas reserves and production in China. Due to the influence of the reservoir characteristics, tight gas reservoirs have low porosity and permeability, and the tight gas can only be effectively developed by improving the conductivity around the wellbore. Therefore, it is required to perform hydraulic fracturing after the completion of horizontal well drilling to improve the permeability of reservoir. It can be seen that hydraulic fracturing is the core technology for efficient development of tight gas resources. The implementation of hydraulic fracturing scheme directly determines the horizontal well production and EUR. This paper describes the workflow of 3D geomechanical modeling, technical application for Well YQ 3-3-H4 reservoir stimulation treatment, and carries out hydraulic fracture propagation simulation research based on 3D geomechanical model. This paper also compares the micro-seismic data with the simulation results, and the comparison results show that the propagation model is consistent with the micro-seismic monitoring data, which verifies the accuracy of the model. This paper clarifies the distribution law of hydraulic fractures in the three-dimensional space of horizontal wells in YQ 3 block, and the research results can be used to provide guidance and suggestions for the optimization of fracturing design of horizontal wells in tight gas of Sichuan Basin.
ABSTRACT With the advancement of conventional water calculated and simulated under different conditions. The displacement technology, cold damage may affect the results show that the surface water injection temperature vicinity of high pour point oil wells to a certain extent. of 60.8 could ensure the desired water temperature Thus, the optimization of thermal recovery parameters of reaching the target layer, and the injection temperature high pour point oil is of great significance to the oil field. of 60.4 C could meet the needs of efficient development In this study, a comprehensive model of the temperature after considering the design of the 750-m insulated tubing. INTRODUCTION balance, flow properties, and production efficiency (Hovdan, 1989; Sumnu-Dindoruk and Dindoruk, 2006; Askarova et High pour point oil has the characteristics of high al., 2020). The high-temperature surface-injected water is paraffin content and high pour point. Because of these delivered to the production target layer through the wellbore, characteristics, it usually shows extreme sensitivity to and the heat conduction and thermal effect will inevitably temperature in each stage of development (Zhang et al., lead to changes in the temperature state of the fluid in the 2007; Shaoul et al., 2009).
Yu, Peng (Wuhan Second Ship Design and Research Institute Wuhan) | Sheng, Weijia (Wuhan Second Ship Design and Research Institute Wuhan) | Gao, Changhua (Wuhan Second Ship Design and Research Institute Wuhan) | Cai, Shaojun (Wuhan Second Ship Design and Research Institute Wuhan) | Yang, Fei (Wuhan Second Ship Design and Research Institute Wuhan)
ABSTRACT According to the ship power equipment has many external installation interfaces with high precision requirements and complex dimensional chain, the risk of power equipment installation out of tolerance is greater. Eventually, the overall installation of propulsion equipment may not meet the accuracy requirements, or forced assembly, etc. This problem may reduce the ship's propulsion efficiency and affect the quality, and also cause safety issues probably. It can even lead to the failure of the entire product project. At the same time, if the manufacturing and installation accuracy of the parts are blindly improved, the manufacturing cost and period will be greatly increased, and it is difficult to adapt to the application requirements of actual engineering. Therefore, in the product design and construction process, it is necessary to carry out tolerance analysis of the equipment and formulate a reasonable and feasible tolerance distribution program from the very beginning. Through calculation, tolerance analysis and so on, the designers can verify whether the manufacturing accuracy, assembly benchmark, assembly process, assembly accuracy of parts meet the requirements of the product. Then it can optimize the tolerance distribution program, until achieve the purpose of ensuring product assembly quality, reducing production costs, and shortening the period. In order to effectively eliminate the risk of equipment installation out of tolerance, this paper uses extreme value method, root mean square method, safety factor-root mean square method, and Monte Carlo method to carry out the tolerance analysis of equipment assembly, based on the existing domestic construction capacity. Comparison and analysis of calculation results by the above different methods puts forward the engineering applicability of different methods, which have strong engineering guidance. And combined with the actual construction of the situation, it shows that the equipment installation accuracy requirements are reasonable and feasible, and the adjustments can meet the needs of ship construction.
Zhu, Youyi (Research Institute of Petroleum Exploration & Development, CNPC) | Yu, Peng (University of Science and Technology Beijing) | Fan, Jian (Research Institute of Petroleum Exploration & Development, CNPC)
Abstract Chemical flooding is one of enhanced oil recovery (EOR) methods. The primary mechanism of EOR of chemical flooding is interfacial tension reduction, mobility ratio improvement and wettability changes. Recent studies showed that enhancing emulsification performance was beneficial to improve oil displacement efficiency. The formation of Pickering emulsion by nanoparticles could greatly improve the emulsifying performance. Using nanoparticles stabilized emulsions for chemical EOR application is a novel method. In this study, six different types of nanoparticles were selected, including hydrophilic nano silica, modified nano silica, carbon nanotubes and bentonite, etc. The nanoparticle combine with petroleum sulfonate could form a stable emulsion. Particle wettability were measured by using contact angle measurement (OCA20). Emulsifying intensity index was measured for different nanoparticle-stabilized emulsions. The mechanisms of nanoparticle-stabilized emulsions and relationship between emulsion stability have been investigated. The influence of dispersant on nanoparticle-stabilized emulsions also has been investigated. Nanoparticles mainly play a role in improving the stability of emulsions while surfactant play a major role in enhancing the emulsifying dispersion. The wettability of solid particles was one of the most important factors that affects the stability of emulsions. Partial hydrophobic nanoparticles were much easier to form stable emulsions than hydrophilic nanoparticles. Nanoparticles could form a three-dimensional network structure, thereby the stability of the emulsion was improved. Use of surfactant to disperse nanoparticles could further improve the emulsion stability. Finally, three nanoparticles stabilized emulsion formulations were developed for chemical flooding EOR. Nanoparticle-stabilized emulsions could improve oil displacement efficiency in chemical combination flooding. This research was used to optimize chemical combination flooding formulation and has a guidance function for application of nanoparticles in chemical flooding EOR.
The traditional geophysical interpretation relies mainly on a priori information and certain experience of geologists. Thus, the result may be easily influenced by subjective factors and lack of quantitative evaluations, especially in the situation when there are several kinds of geophysical inversed results need conducting integrated interpretation simultaneously. By applying the fuzzy C-means clustering (FCM) and adding the a priori information into the geophysical interpretation process, we can effectively improve the objectivity and accuracy of interpretation. To get a better interpretation of inversion results, we add the a priori constraint information to the FCM method, using the guided FCM to cluster the multi-geophysical inversed results. Through model tests and statistical analysis of physical properties, it is proved that the guided FCM clustering has a better ability to characterize the distributions the layered medium than that without guided FCM. And the guided FCM clustering of multi-geophysical inversed results is better than the FCM clustering of single geophysical inversed result. Note: This paper was accepted into the Technical Program but was not presented at the 2020 SEG Annual Meeting.
Yu, Peng (Wuhan 2nd Ship Design and Research Institute) | Yang, Qin (Wuhan 2nd Ship Design and Research Institute) | Ye, Mengxiong (Wuhan 2nd Ship Design and Research Institute) | Chen, Xiaozou (Wuhan 2nd Ship Design and Research Institute) | Jia, Wenchao (Wuhan 2nd Ship Design and Research Institute)
ABSTRACT To optimize sensor placement for acoustic radiation prediction and enhance completeness of data in model test, a method is proposed based on QR decomposition and genetic algorithm in this article. Firstly, the candidate measurement points are obtained based on QR decomposition of the modal matrix, and then these points are further filtered by the genetic algorithm. Finally, the possibility of producing good individuals in the evolution is increased via the optimal replacement strategy. By comparing the forecast results with the genetic algorithm and uniform sensor placement, the approach of this paper shows higher accuracy and takes less time on computing. INTRODUCTION In the preliminary design stage of the submarine, accurate acoustic radiation prediction can provide a theoretical basis for the acoustic optimization design of the structure. Therefore, it is necessary to study the acoustic radiation prediction of the cylindrical shell which is usually considered as the main component of the submarine (Wang, Xu, Jiang, and Wu, 2019). In order to get sampled data of the structure, a series of sensors are needed to be arranged on the structure surface. However, applying a large number of sensors is difficult and unrealistic. Thus, it is very imperative to search for a new way to make accurate forecasts with fewer sensors. At present, the research on the optimal sensor placement for acoustic radiation prediction of cylindrical shell is rare. Also, uniform sensor placement method (Li and Wang, 2010; Wang and Tang, 2010), which is simple and easy to use, has been widely applied by engineers. However, the number and location of sensors are very subjective and blind in this method, also a lot of numerical calculations are required. The genetic algorithm, proposed by Professor Holland (1975) of the University of Michigan, is one of the central issues to optimize the placement of sensors in recent years. This algorithm is a stochastic optimization method whose basic idea is to take each feasible solution as an individual, and treat the fitness function as an evaluation criteria. And, the results near the global optimal one will be obtained through selection, crossover, mutation and so on. At present, genetic algorithm has been applied to sensor optimization arrangements in many fields. For example, in order to solve the problem of optimal sensor placement in antenna module health monitoring, Yang, Zhang, Huang, Cheng, Zhang, and Hou (2017) proposed an improved genetic algorithm, which not only greatly speeds up the convergence, but also ensures the search for the optimal solution.
Wang, Cheng (State Key Laboratory of Marine Geology, Tongji University, Shanghai, China) | Yu, Peng (State Key Laboratory of Marine Geology, Tongji University, Shanghai, China, and UN Environment-Tongji Institute of Environment for Sustainable Development, Tongji University, Shanghai, China) | Zhang, Luolei (State Key Laboratory of Marine Geology, Tongji University, Shanghai, China) | Zhao, Chongjin (State Key Laboratory of Marine Geology, Tongji University, Shanghai, China) | Shi, Bo (State Key Laboratory of Marine Geology, Tongji University, Shanghai, China)
ABSTRACT In this paper, we conduct a study on a sharp boundary inversion using magnetotelluric data by introducing a focusing stabilizing functional, which is based on the exponential varying property of the model parameters. Compared with the smoothing inversion, this method can enhance the sharp boundaries of electrical interface more effectively. We apply this exponential stabilizing functional into the widely used Occam inversion framework, and the results of 2D model tests show that it can efficiently generate a focused inversion image. Presentation Date: Tuesday, September 17, 2019 Session Start Time: 1:50 PM Presentation Time: 3:30 PM Location: Poster Station 6 Presentation Type: Poster
Song, Han (State Key Laboratory of Marine Geology, Tongji University, Shanghai, China) | Yu, Peng (State Key Laboratory of Marine Geology, Tongji University, Shanghai, China) | Zhao, Chongjin (State Key Laboratory of Marine Geology, Tongji University, Shanghai, China) | Zhang, Luolei (State Key Laboratory of Marine Geology, Tongji University, Shanghai, China)
In recent years, Salem et al. (2008) utilized the tilt depth and source geometry of magnetic anomaly bodies angle derivatives and 3D Euler equation to produce a linear without any prior information. This method is an inversion equation, which can be used to estimate both the depth and iteration process. Based on the equation of buried depth and SI of 3D magnetic sources. However, the algorithm has to structure index of the magnetic anomaly body and analytic determine the strike of the structure one by one, and there signal of the magnetic field, we use the upward continuation are uncertainties caused by the artificial selection of method to obtain multi upward-continued data and get a set parameters. of over-determined equations about depth and structure index. The steepest descent method is used to obtain the In order to avoid the problem of artificial selection of least squares solution of the equation system and obtain the parameters, we have presented a new method, which can depth and structural index. The feasibility and stability of simultaneously determine the depth and source geometry of our method are demonstrated on synthetic data. Compared magnetic anomaly bodies without any prior information.
Fu, Hao (University of North Dakota, Grand Forks) | Long, Yifu (Missouri University of Science and Technology) | Wang, Sai (University of North Dakota, Grand Forks) | Wang, Yanbo (University of North Dakota, Grand Forks) | Yu, Peng (Beibu Gulf University, Qinzhou) | Ling, Kegang (University of North Dakota, Grand Forks)
Abstract Geological carbon sequestration through injecting large-scale carbon dioxide (CO2) into the deep saline aquifers represents a long-term storage of CO2. In the CO2 sequestration process, the injected CO2 is displacing water from the injection point and is expected to remain in the reservoir. Due to the nature of one phase displacing another phase in porous media, it is noted that different water saturation exists in the CO2 plume during the displacement. Water distribution in the plume will affect the size of the plume subsurface. Furthermore, the gravitational segregation between CO2 and water will cause overriding-tonguing during the injection and impact the shape of plume. To better understand the CO2 movement underground and development of CO2 plume, it is necessary to take the two-phase flow and gravity force effects into account when evaluating CO2 displacing water. The displacement of water by injecting CO2 is not a piston-like process in aquifer. Because water is the wetting phase and CO2 is the non-wetting phase when two phases flow in reservoir, water occupies the surface of matrix and small pores while CO2 resides in large pores and centers of pores. As a result, various water saturations distribute behind CO2 front during the displacement. The distribution is a function of fluid and rock properties, fluid-rock interaction, and injection operation. In this study, these factors are considered when developing new models to predict CO2 plume evolution during injection. Mass conservation, multiphase flow, and equation-of-states are applied in the derivation of the models, which guarantees a rigorous approach in the investigation. The modeling results indicate that CO2 does not displace water completely away from the plume. The shape of the CO2 front is controlled by the relative permeability of two phases and capillary pressure. Water saturation profile from CO2 injecting point to the displacement front shows that water saturation behind the CO2 front increases outwardly, and the change in saturation is non-linear. The injection rate impacts the sharpness of the CO2 front, thus leads to different gas plume sizes for same injection volume. The outward movement of the CO2 front decelerates as injection time goes on. The research illustrates that injection experiences two stages: transient and steady-state, in which the displacement behavior and the development of gas plume vary. Although the duration of transient stage is dictated by size of aquifer and is relatively short comparing with steady-state stage, its influence on the development of CO2 plume cannot be neglected when selecting gas compressor horsepower and determining injection rate.
ABSTRACT Tank container transportation, a kind of ‘door-to-door’ service, is one of marine transportation types. However, tank containers are forbidden to carry liquefied natural gas(LNG) according to some certain marine laws because of the uncertain safety concerns of carrying LNG within tank containers. In this paper, an experimental scheme was proposed to test the evaporation characteristics of LNG in the tank container. A single-freedom simulator was constructed and used to simulate the motion of a prototype 40ft tank container during shipping. Both static and dynamic boil-off gas (BOG) flow was measured. The results show that the motion of the tank container has effect on dynamic evaporation and with the increase of severity of the conditions the BOG flow presents a unimodal curve. Moreover, the more severely the container sways, the lower the evaporate rate approaches, which indicates a longer storage time of an airtight tank container during shipping. INTRODUCTION Natural gas is a kind of clean energy with high heat value per unit which is expected to be a substitute for traditional fossil fuels. At present, the amount of global reserves has been explored is about 266 trillion cubic meter, and among them, about 45% of the reserves is offshore resources (Liu, 2011). Natural gas resources mainly distribute in the Middle East and Eastern Europe, but natural gas has been used worldwide. As a result, transportation of natural gas is an inevitable process. Liquefied natural gas (LNG) requires only 1/625 of the volume of the same amount of natural gas, so being transported in liquid state is one of the feasible methods for natural gas. The mainly transportation types for LNG is by pipelines, road tanks and railway tanks inland and LNG ship carriers on the sea. Many times of loading and off-loading processes are required when LNG is transported from origin to destination, which leads to resource waste. LNG tank containers provide flexible modes of transportation, either by road, water, railway or combinations of the three, and can be used directly as storage tanks (Lin, 2010). And tank containers have already been standardized, in other words, a container can be transported efficiently from origin to destination by different transport means (vessel, train, truck) without the need to reorganize/rehandle the content within (Lee, 2017). In that sense, tank containers can provide ‘door-to-door’ service and it is especially applicable to transporting LNG to some remote areas.