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Research into polymer injection timing for Bohai heavy oil reservoirs

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Petroleum Science 2015年第1期12卷 129-134页

作者： Lei-Ting Shi Shi-Jie Zhu Jian Zhang Song-Xia Wang Xin-Sheng Xue Wei Zhou Zhong-Bin Ye State Key Laboratory of Offshore oil Exploitation State Key Laboratory of oil and Gas Reservoir Geology and Exploitation Southwest Petroleum University Research Institute of Exploration and Development Petro China Southwest Oil & Gas Field Company

Polymer flooding has been proven to effectively improve oil recovery in the Bohai oil Field. However, due to high oil viscosity and significant formation heterogeneity, it is necessary to further improve the displacement effectiveness of polymer flooding in heavy oil reservoirs in the service life of offshore platforms. In this paper, the effects of the water/oil mobility ratio in heavy oil reservoirs and the dimensionless oil productivity index on polymer flooding effectiveness were studied utilizing rel- ative permeability curves. The results showed that when the water saturation was less than the value, where the water/oil mobility ratio was equal to 1, polymer flooding could effectively control the increase of fractional water flow, which meant that the upper limit of water/oil ratio suitable for polymer flooding should be the value when the water/oil mobility ratio was equal to 1. Mean while, by injecting a certain volume of water to create water channels in the reservoir, the polymer flooding would be the most effective in improving sweep efficiency, and lower the fractional flow of water to the value corresponding to △Jmax. considering the service life of the platform and the polymer mobility control capacity, the best polymer injection timing for heavy oil reservoirs was optimized. It has been tested for reservoirs with crude oil viscosity of 123 and 70 mPa s, the optimum polymer flooding effec- tiveness could be obtained when the polymer floods were initiated at the time when the fractional flow of water were 10 % and 25 %, respectively. The injection timing range for polymer flooding was also theoretically analyzed for the Bohai oil Field utilizing which provided methods for effectiveness. relative permeability curves, improving polymer flooding

关键词： Heavy oil reservoir Mobility ratio Polymer injection timing Injection timing range Timing optimization

Anomaly detection of hot components in gas turbine based on frequent pattern extraction

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Science China(Technological Sciences) 2018年第4期61卷 567-586页

作者： LIU JinFu ZHU LinHai MA YuJia LIU Jiao ZHOU WeiXing YU DaRen School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China AVIC Electromechanical(Shenyang)Sanyo Refrigeration Equipment co.ltd. Shenyang 110027China

Hot components operate in a high-temperature and high-pressure environment. The occurrence of a fault in hot components leads to high economic losses. In general, exhaust gas temperature(EGT) is used to monitor the performance of hot ***, during the early stages of a failure, the fault information is weak, and is simultaneously affected by various types of interference, such as the complex working conditions, ambient conditions, gradual performance degradation of the compressors and turbines, and noise. Additionally, inadequate effective information of the gas turbine also restricts the establishment of the detection model. To solve the above problems, this paper proposes an anomaly detection method based on frequent pattern extraction. A frequent pattern model(FPM) is applied to indicate the inherent regularity of change in EGT occurring from different types of interference. In this study, based on a genetic algorithm and support vector machine regression, the relationship model between the EGT and interference was tentatively built. The modeling accuracy was then further improved through the selection of the kernel function and training data. Experiments indicate that the optimal kernel function is linear and that the optimal training data should be balanced in addition to covering the appropriate range of operating conditions and ambient temperature. Furthermore, the thresholds based on the Pauta criterion that is automatically obtained during the modeling process, are used to determine whether hot components are operating abnormally. Moreover, the FPM is compared with the similarity theory, which demonstrates that the FPM can better suppress the effect of the component performance degradation and fuel heat value fluctuation. Finally, the effectiveness of the proposed method is validated on seven months of actual data obtained from a Titan130 gas turbine on an offshore oil platform. The results indicate that the proposed method can sensitively dete

关键词： frequent pattern model(FPM) support vector machine regression(SVR) genetic algorithm(GA) gas turbine hot components anomaly detection

In situ catalytic upgrading of heavy crude oil through low-temperature oxidation

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Petroleum Science 2016年第3期13卷 476-488页

作者： Hu Jia Peng-Gang Liu Wan-Fen Pu Xian-Ping Ma Jie Zhang Lu Gan State Key Laboratory of oil and Gas Reservoir Geology and Exploitation Southwest Petroleum University oil Production Technology Institute of Dagang oilfield CNPC

The low-temperature catalytic oxidation of heavy crude oil（Xinjiang oilfield,China） was studied using three types of catalysts including oil-soluble,watersoluble,and dispersed *** to primary screening,oil-soluble catalysts,copper naphthenate and manganese naphthenate,are more attractive,and were selected to further investigate their catalytic performance in in situ upgrading of heavy *** heavy oil compositions and molecular structures were characterized by column chromatography,elemental analysis,and Fourier transform infrared spectrometry before and after *** Arrhenius kinetics model was introduced to calculate the rheological activation energy of heavy oil from the viscosity-temperature *** show that the two oil-soluble catalysts can crack part of heavy components into light components,decrease the heteroatom content,and achieve the transition of reaction mode from oxygen addition to bond *** calculated rheological activation energy of heavy oil from the fitted Arrhenius model is consistent with physical properties of heavy oil（oil viscosity and contents of heavy fractions）.It is found that the temperature,oil composition,and internal molecular structures are the main factors affecting its flow ***-soluble catalyst-assisted air injection or air huff-n-puff injection is a promising in situ catalytic upgrading method for improving heavy oil recovery.

关键词： In situ catalytic oxidation Heavy oil Upgrading Low-temperature oxidation Mechanism

Treatment of drilling wastewater from a sulfonated mud system

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Petroleum Science 2013年第1期10卷 106-111页

作者： Guo Jixiang Cui Yongjie Cao Jingjing Enhanced oil Recovery Institute China University of Petroleum Shenghua Group Zhungeer Energy co. Ltd

Treatment of drilling wastewater from a sulfonated drilling mud system in the Shengli oilfield, East China, was studied. The wastewater was deeply treated by a chemical coagulationcentrifugal separation-ozone catalytic oxidation combined process. The factors （i.e. pH value, chemical dosage, reaction time, etc.） influencing the treatment effect were investigated, and pH = 7 was determined as optimal for the coagulation; polymeric aluminum chloride （PAC） was selected as the optimal coagulant with a dosage of 18 g/L; cationic polyacrylamide （CPAM） with molecular weight of 8 million was selected as the optimal coagulant aid with an optimum dosage of 8 mg/L; and the optimal condition of catalytic ozonation was found to be a pH of 12 and an oxidation time of 40 min. The results showed that the combined treatment process was effective. The oil content and suspended solids content of the effluent reached the first class discharge standard according to China＇s standard GB 8978-1996 （Integrated Wastewater Discharge Standard） and the chemical oxygen demand （coD） decreased to 195 mg/L from 2.34×10^4 mg/L after coagulation process and ozone oxidation at pH = 12 for 40 min.

关键词： Drilling wastewater sulfonated mud system coagulation and flocculation centrifugalseparation ozone catalytic oxidation

Numerical Investigation of the Dynamics for Low Tension Marine Cables

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Journal of Shanghai Jiaotong university(Science) 2015年第3期20卷 257-264页

作者：陈斌苏锋霍存锋张汝彬姚宝恒连琏 Offshore oil Engineering co. Ltd. Institute of Oceanology Shanghai Jiaotong University

This paper presents a numerical investigation into the dynamics of marine cables which are extensively used in offshore industry. In this numerical study, the Euler-Bernoulli beam model is adopted to develop the governing equations of the cable. Bending stiffness is considered to cope with the low tension problem in local area of towing cable, and thus a more accurate solution with the consideration of the axial elongation can be *** derived strongly-coupled and nonlinear governing equations are solved by a second-order accurate, implicit,and large time step stable central finite difference method. The quadratically convergent Newton-Raphson iteration method is applied to solving the discrete nonlinear algebraic equations. Then a towed array sonar system(TASS)problem is studied. The numerical solutions agree reasonably well with the experimental data and the simulated results of the references. The specified program of the present paper shows great robustness with high efficiency.

关键词： marine cable Euler-Bernoulli beam high tension low tension finite ditlerence method dynamics

Parameter sensitivity analysis of the axial stability for a marine flexible pipe

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Petroleum 2024年第3期10卷 548-556页

作者： Liping Tang Jiaxin Zou Kenan Song Yongheng Shi Li Liu School of Mechatronic Engineering Southwest Petroleum UniversityChengdu610500China School of Engineering University of AberdeenAberdeenAB243UEUK oil&Gas control Center National Petroleum and Natural Gas Pipeline Network Group Co.Ltd.Beijing100020China

Marine unbonded flexible pipes serve as the most essential equipment in offshore oil and gas exploration and *** compressive loads during installation or in service in the complex marine environment usually lead to buckling failure.A flexible pipe is a composite structure with multiple functional layers,of which the tensile armor layer plays a key role with regard to the response of the pipe subjected to axial *** this paper,a simplified three-dimensional finite element model is developed,focusing on the tensile layer and replacing the carcass layer,pressure sheath layer,and pressure armor layer by a cylindrical rigid body to reduce computational *** using this model,the buckling failure modes of the tensile armor layer(in particular the birdcaging phenomenon)are *** key parameters that affect the stability of the flexible pipe under axial compression and torsion are emphasized,and their effects on its axial and torsional stiffness are compared and *** results show that both the lay angle of the steel wires and the interlayer friction coefficient have a significant influence on the axial and torsional stiffness of the pipe,whereas the damaged length of the outer sheath has virtually no effect.

关键词： Flexible pipe Tensile armor Buckling failure Key parameters Stiffness

Applying the Dynamic Two-Step Method to Forecast Remaining oil Distribution of Lower Series ,Xiaermen oilfield

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Journal of China University of Geosciences 2006年第1期17卷 65-70页

作者：周红汤传意李增辉 Faculty of Earth Resources China University of Geosciences Wuhan430074 China The Xianhe oil Production Plant Shengli Oilfield Co . Ltd. SINOPEC Dongying257068 China

The distribution of remaining oil is often described qualitatively. The remaining oil distributed in the whole reservoir is calculated according to the characteristics of the space distribution of the saturation of remaining oil. Logging data are required to accomplish this. However, many such projects cannot be completed. Since the old study of remaining oil distribution could not be quantified efficiently, the ＂dynamic two-step method＂ is presented. Firstly, the water cut of every flow unit in one well at one time is calculated according to the comprehensive water cut of a single well at one time. Secondly, the remaining oil saturation of the flow unit of the well at one time is calculated based on the water cut of the flow unit at a given time. The results show that ＂dynamic two-step method＂ has characteristics of simplicity and convenience, and is especially suitable for the study of remaining oil distribution at high water-cut stage. The distribution of remaining oil presented banding and potato form, remaining oil was relatively concentrated in faultage neighborhood and imperfect well netting position, and the net thickness of the place was great. This proposal can provide an effective way to forecast remaining oil distribution and enhance oil recovery, especially applied at the high water-cut stage.

关键词： dynamic two-step method flow unit quantitative forecast remaining oil

Preliminary study on nanopores,nanofissures,and in situ accumulation of Gulong shale oil

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地学前缘 2023年第1期30卷 260-280页

作者： HE Wenyuan Daqing oilfield co ltd Daqing 163002China Heilongjiang Provincial Key Laboratory of continental Shale oil Daqing 163712China

The Qingshankou Formation shale oil in the Gulong Sag is an important oil and gas reservoir in the Daqing oilfield,with geological resources of 15.1 billion *** fabric of shale can reflect not only its genesis but also the nature of the reservoir space,its physical properties,oil content,and development ***,the characteristics of clay minerals in the Gulong shale oil reservoir were studied via electron microscopy,with the primary focus on the microfabrics and reservoir space;thereafter,the in situ accumulation was studied and *** backscattering patterns revealed that nanometer pores and fissures were well developed in the Gulong shale oil *** nano pores were mostly 20-50 nm in diameter(median 20-30 nm),irregularly shaped,mostly,polygonal,and connected with *** widths of nanofissures ranged mostly between 10-50 nm(median 20-30 nm);moreover,these fissures were mainly formed by F-F condensation of clay sheets(clay domains).The coagulation of clays was closely related to organic matter,especially *** clay colloids were negatively charged due to isocrystalline replacement;hence,metal cations were absorbed around the clay,forming a positive clay *** positively charged clays subsequently adsorbed negatively charged humic acid(organic matter)and initially degraded algae to form an organic clay *** the organic clay flocculates reached the threshold for hydrocarbon generation and expulsion,the volume of organic matter decreased by 87%;thereafter,the generated and expelled hydrocarbon filled the nearby pores formed by this ***,the discharged hydrocarbon could not migrate due to capillary resistance(~12 MPa)of the nanopores;hence,the nanopores formed a unique continuous in situ reservoir within the Gulong shale *** study demonstrated that the Gulong shale oil reservoir is an actual clay-type shale reservoir with numerous nanopore and *** coagulation,a large amount of orga

关键词： shale clay organic matter nanopores nanofissures in situ accumulation Gulong Sag

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An efficient data-driven global sensitivity analysis method of shale gas production through convolutional neural network

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Petroleum Science 2024年第4期21卷 2475-2484页

作者： Liang Xue Shuai Xu Jie Nie Ji Qin Jiang-Xia Han Yue-Tian Liu Qin-Zhuo Liao State Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing102249China Department of oil-Gas Field Development Engineering College of Petroleum EngineeringChina University of Petroleum(Beijing)Beijing102249China Chuanqing Drilling Engineering co.ltd. China National Petroleum CorporationChengdu610051SichuanChina

The shale gas development process is complex in terms of its flow mechanisms and the accuracy of the production forecasting is influenced by geological parameters and engineering ***,to quantitatively evaluate the relative importance of model parameters on the production forecasting performance,sensitivity analysis of parameters is *** parameters are ranked according to the sensitivity coefficients for the subsequent optimization scheme design.A data-driven global sensitivity analysis(GSA)method using convolutional neural networks(CNN)is proposed to identify the influencing parameters in shale gas *** CNN is trained on a large dataset,validated against numerical simulations,and utilized as a surrogate model for efficient sensitivity *** approach integrates CNN with the Sobol'global sensitivity analysis method,presenting three key scenarios for sensitivity analysis:analysis of the production stage as a whole,analysis by fixed time intervals,and analysis by declining *** findings underscore the predominant influence of reservoir thickness and well length on shale gas ***,the temporal sensitivity analysis reveals the dynamic shifts in parameter importance across the distinct production stages.

关键词： Shale gas Global sensitivity convolutional neural network Data-driven