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petroleum Science 2022年第2期19卷 707-719页

作者： Kai Zhang Hai-Qun Yu Xiao-Peng Ma Jin-Ding Zhang Jian Wang Chuan-Jin Yao Yong-Fei Yang Hai Sun Jun Yao Jian Wang school of petroleum engineering China University of Petroleum(East China)QingdaoShandong266580China school of Science China University of Petroleum(East China)QingdaoShandong266580China Shengli Oil Field Exploration and Development Research Institute DongyingShandong266071China

For reservoirs with complex non-Gaussian geological characteristics,such as carbonate reservoirs or reservoirs with sedimentary facies distribution,it is difficult to implement history matching directly,especially for the ensemble-based data assimilation *** this paper,we propose a multi-source information fused generative adversarial network(MSIGAN)model,which is used for parameterization of the complex *** MSIGAN,various information such as facies distribution,microseismic,and inter-well connectivity,can be integrated to learn the geological *** two major generative models in deep learning,variational autoencoder(VAE)and generative adversarial network(GAN)are combined in our *** the proposed MSIGAN model is integrated into the ensemble smoother with multiple data assimilation(ESMDA)method to conduct history *** tested the proposed method on two reservoir models with fluvial *** experimental results show that the proposed MSIGAN model can effectively learn the complex geological features,which can promote the accuracy of history matching.

关键词： Multi-source information Automatic history matching Deep learning Data assimilation Generative model

Influence of Alumina Content on Catalytic Performance of PtSn/Al_2O_3/SBA-15 Catalysts for Propane Dehydrogenation

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China petroleum Processing & Petrochemical Technology 2012年第4期14卷 9-16页

作者： Zhang Peixin Zhou Yuming Duan Yongzheng Zhang Yiwei Sheng Xiaoli school of Chemistry and Chemical engineering Southeast University geological Survey of Jiangsu Province

The alumina-modified SBA-15 （A12OJSBA-15） zeolite was prepared in a non-aqueous system by using toluene as the solvent, and was used to support the PtSn-based catalyst for propane dehydrogenation. The BET surface area mea- surements, hydrogen chemisorption, FT-IR spectroscopy, NH3-TPD, XPS and TPO techniques were used to characterize the catalysts. Test results showed that the addition of alumina not only could modify the acid function of the support but also the structure of the metallic phase, thus affecting their catalytic properties. Among these catalysts studied, the PtSn/AI203 （5%）/ SBA-15 catalyst exhibited a best catalytic performance in terms of propane conversion and selectivity to propene. The high catalytic performance might be attributed to the relatively good Pt metal dispersion and/or the strong interaction between Pt and Sn species.

关键词： SBA- 15 A1203 propane dehydrogenation propene Pt

Optimal field development and production design for unconventional reservoirs:A case study from Central Sub-Basin,Permian Basin,New Mexico

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petroleum Research 2021年第1期6卷 66-76页

作者： Alexander Davis Oladoyin Kolawole Marshall Watson Chioma Onwumelu Bob L.Herd Department of petroleum engineering Texas Tech University807 Boston AvenueLubbockTXUSA Harold Hamm school of Geology and geological engineering University of North DakotaGrand ForksNDUSA

The planning and developmental decisions succeeding the discovery of an unconventional oil and gas field is of utmost importance in attaining successful exploitation and production from these tight *** development and production of hydrocarbon from these unconventional reservoirs require requires adequate planning and execution which could be challenging,due to the sequence of heterogeneous lithologies of these *** this study,we designed and presented a comprehensive field development and production program that is representative of the unconventional oil and gas development in the Central sub-basin of the Permian *** design and achieve optimal field development and production for unconventional reservoirs in the Central sub-basin of the Permian Basin,New Mexico,we utilized field data from an oil and gas well that was drilled to a TVD/MD of 2290 m with a PBTD of 2270 ***,we conducted the petrophysical evaluation of the logs and utilized a decline curve analysis for reservoir evaluation of all the members of the *** also designed and developed comprehensive drilling,completions,and facilities ***,we incorporated an economic analysis of our optimized field development and production *** results provide a valuable plan and critical decision-making insight for optimizing field development and production of unconventional reservoirs in the Permian Basin and across the world.

关键词： Unconventional reservoir Carbonate Permian basin Field development Hydrocarbon production

Preparation of Alumina Binder-Added PtSnNa/AlSBA-15 Catalyst for Propane Dehydrogenation

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China petroleum Processing & Petrochemical Technology 2013年第1期15卷 25-31页

作者： Zhang Peixin Zhou Yuming Duan Yongzheng Zhang Yiwei Sheng Xiaoli school of Chemistry and Chemical engineering Southeast University geological Survey of Jiangsu Province

Abstract： The present article compares the propane dehydrogenation performance of alumina binder-added PtSnNa/ A1SBA-15 catalysts prepared via three different procedures in comparison with the performance of a binder-free PtSnNa/ AISBA-15 catalyst. All these catalysts have been investigated by reaction tests and some physico-chemical characterizations such as BET, H2 chemisorption, catalytic grain crushing strength, NHa-TPD and TPO analyses. Test results showed that the addition of alumina binder could enhance the mechanical strength of catalyst evidently. Moreover, the different preparation procedures not only modified the characteristics of both acid and metal functions but also affected the coke deposition on the catalysts. Among these catalysts studied, the catalyst prepared by impregnation followed by the agglomeration of alumi- na binder had exhibited the highest catalytic activity and stability compared with other catalyst samples undergoing different preparation procedures. The possible reason may be attributed to the highest metallic dispersion and the strong interactions among Pt, Sn and the support.

关键词： A1SBA-15 binder preparation procedure propane dehydrogenation alumina.

Evaluation of hydraulic fracturing of horizontal wells in tight reservoirs based on the deep neural network with physical constraints

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petroleum Science 2023年第2期20卷 1129-1141页

作者： Hong-Yan Qu Jian-Long Zhang Fu-Jian Zhou Yan Peng Zhe-Jun Pan Xin-Yao Wu State Key Laboratory of petroleum Resources and Prospecting China University of PetroleumBeijing102249China school of Artificial Intelligence China University of PetroleumBeijing102249China Unconventional Oil and Gas Institute China University of PetroleumBeijing102249China school of petroleum engineering China University of PetroleumBeijing102249China Key Laboratory of Continental Shale Hydrocarbon Accumulation and Efficient Development Ministry of EducationNortheast Petroleum UniversityDaqingHeilongjiang163318China engineering Technology Research Institute PetroChina Xinjiang Oilfield CompanyKaramayXinjiang834000China

Accurate diagnosis of fracture geometry and conductivity is of great challenge due to the complex morphology of volumetric fracture network. In this study, a DNN (deep neural network) model was proposed to predict fracture parameters for the evaluation of the fracturing effects. Field experience and the law of fracture volume conservation were incorporated as physical constraints to improve the prediction accuracy due to small amount of data. A combined neural network was adopted to input both static geological and dynamic fracturing data. The structure of the DNN was optimized and the model was validated through k-fold cross-validation. Results indicate that this DNN model is capable of predicting the fracture parameters accurately with a low relative error of under 10% and good generalization ability. The adoptions of the combined neural network, physical constraints, and k-fold cross-validation improve the model performance. Specifically, the root-mean-square error (RMSE) of the model decreases by 71.9% and 56% respectively with the combined neural network as the input model and the consideration of physical constraints. The mean square error (MRE) of fracture parameters reduces by 75% because the k-fold cross-validation improves the rationality of data set dividing. The model based on the DNN with physical constraints proposed in this study provides foundations for the optimization of fracturing design and improves the efficiency of fracture diagnosis in tight oil and gas reservoirs.

关键词： Evaluation of fracturing effects Tight reservoirs Physical constraints Deep neural network Horizontal wells Combined neural network

Role of flood discharge in shaping stream geometry:Analysis of a small modern stream in the Uinta Basin,USA

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Journal of Palaeogeography 2017年第1期6卷 84-95页

作者： Guang-Ming Hu Ru-Xin Ding Yan-Bing Li Jing-Fu Shan Xiao-Tao Yu Wei Feng school of Geosciences Yangtze UniversityWuhan 430100HubeiChina State Key Laboratory of petroleum Resources and Prospecting China University of Petroleum(Beijing)Beijing 102249China school of Earth Science and geological engineering Sun Yat-sen UniversityGuangzhou 510275GuangdongChina Guangdong Provincial Key Laboratory of Mineral Resources and geological Processes Guangzhou 510275GuangdongChina The Third Production Plant Daqing Oilfield BranchPetroChinaDaqing 163000HeilongjiangChina

This small modern river system is located on a retativety flat （about 1°-2°）, unconsotidated sandy pediment surface in the Uinta Basin of Utah, USA, and it is with a scare of about 30 m tong and 0.4-0.8 m wide, simitar as a natural flume experiment modet. The smart stream is informatty divided into upstream, midstream and downstream. The anatysis shows that flood discharge influences channet sinuosity and morphology to produce an initiat meandering pattern which is tater changed to a braided and then a straisht pattern in the downflow direction. The upstream segment has a hish sinuous geometry dominated by both erosion （cutbanks） and deposition （point bars）. In the resistance of sporadic vegetation rooting in banks, the upstream flood deviates its original direction, which resutts in the powerful flood intensively eroding the cutbank and accreting clastics to build point bars, and thus producing a high sinuous channet. The midstream is dominated by deposits （many smart bars） with a moderate to tow sinuosity. Due to the bad drainage of the high sinuous channel in the upstream, the strong flood can cut off the point bar comptetely or even surmount the tevee in the fast meandering upstream, which widens the channel suddenty with a quick decreasing current power. Then, the ctastics from the upstream are untoaded in the midstream and form many smart bars. Untoaded sediments protect the bank, and the tow-power current brings a moderate erosion to the bank, which forms a moderate to tow sinuous channel in the midstream. The downstream shows multistage erosionat terraces in its retativety straight channets. After the midstream water drops its toad, it becomes ＂dear＂ and reaches downstream, the tower current power is hetptess to reform channet 8eometry. Thus, the downstream channel sesment keeps a tower sinuous geometry, evenstraight partially. Small amounts of fine clastics are deposited, and simultaneously multistage terraces are formed due to regressive flood erosion.

关键词： Sinuosity Braiding Point bar Channel bar Flood discharge Uinta Basin

Probabilistic prediction of expected ground condition and construction time and costs in road tunnels

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Journal of Rock Mechanics and Geotechnical engineering 2016年第5期8卷 734-745页

作者： A.Mahmoodzadeh S.Zare school of Mining Petroleum and Geophysics EngineeringShahrood University of Technology

Ground condition and construction （excavation and support） time and costs are the key factors in decision-making during planning and design phases of a tunnel project. An innovative methodology for probabilistic estimation of ground condition and construction time and costs is proposed, which is an integration of the ground prediction approach based on Markov process, and the time and cost variance analysis based on Monte-Carlo （MC） simulation. The former provides the probabilistic description of ground classification along tunnel alignment according to the geological information revealed from geological profile and boreholes. The latter provides the probabilistic description of the expected construction time and costs for each operation according to the survey feedbacks from experts. Then an engineering application to Hamro tunnel is presented to demonstrate how the ground condition and the construction time and costs are estimated in a probabilistic way. In most items, in order to estimate the data needed for this methodology, a number of questionnaires are distributed among the tunneling experts and finally the mean values of the respondents are applied. These facilitate both the owners and the contractors to be aware of the risk that they should carry before construction, and are useful for both tendering and bidding.

关键词： Markov process geological condition Monte-Carlo (MC) simulation Construction time and costs Hamro tunnel

A failure criterion for shale considering the anisotropy and hydration based on the shear slide failure model

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International Journal of Mining Science and Technology 2023年第4期33卷 447-462页

作者： Qiangui Zhang Bowei Yao Xiangyu Fan Yong Li Nicholas Fantuzzi Tianshou Ma Yufei Chen Feitao Zeng Xing Li Lizhi Wang petroleum engineering school Southwest Petroleum UniversityChengdu 610500China Department of Civil Geological and Mining EngineeringÉcole Polytechnique de MontréalMontreal H3T 1J4Canada State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum UniversityChengdu 610500China school of Geoscience and Technology Southwest Petroleum UniversityChengdu 610500China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing 400030China Department of Civil ChemicalEnvironmental and Materials EngineeringUniversity of BolognaBologna 40136Italy Department of Civil and Mineral engineering University of TorontoToronto M5S 1A4Canada

A failure criterion fully considering the anisotropy and hydration of shale is essential for shale formation stability ***,a novel failure criterion for hydration shale is developed by using Jaeger’s shear failure criterion to describe the anisotropy and using the shear strength reduction caused by clay minerals hydration to evaluate the *** failure criterion is defined with four parameters in Jaeger’s shear failure criterion(S_(1),S_(2),a andφ),three hydration parameters(k,ω_(sh)andσ_(s))and two material size parameters(d and l0).The physical meanings and determining procedures of these parameters are *** accuracy and applicability of this failure criterion are examined using the published experimental data,showing a cohesive agreement between the predicted values and the testing results,R^(2)=0.916 and AAREP(average absolute relative error percentage)of 9.260%.The error(|D_(p)|)is then discussed considering the effects ofβ(angle between bedding plane versus axial loading),moisture content and confining pressure,presenting that|Dp|increases whenβis closer to 30°,and|D_(p)|decreases with decreasing moisture content and with increasing confining ***,|D_(p)|is demonstrated as being sensitive to S1and being steady with decrease in the data set whenβis 0°,30°,45°and 90°.

关键词： Shale Failure criterion Mechanical strength Shear slide failure Anisotropy Hydration

Distribution of Helium Resources in Weihe Basin,Central China:Insight from 3D Magnetic Inversion

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Journal of Earth Science 2022年第4期33卷 977-992页

作者： Xuliang Feng Bingqiang Yuan Yuhong Li Chunguan Zhang Lijun Song school of Earth Sciences and engineering Xi'an Shiyou UniversityXi'an 710065China Shaanxi Key Laboratory of petroleum Accumulation Geology Xi'an Shiyou UniversityXi'an 710065China Xi'an Center China Geological SurveyXi'an 710054China

There is promising indication of helium-rich natural gas in Weihe ***,the lack of a detailed investigation on the origin and the spatial distribution of helium source rocks(mainly Yanshanian granites)limits the helium potentiality evaluation in Weihe Basin(WB).We performed three-dimensional(3 D)inversions of magnetic data in Weihe Basin and its adjacent areas to figure out the crustal thermal structure and the temporal-spatial distribution of deep granite in the *** on this,we have proposed a geological model of helium accumulation and predicted the potential area of helium *** results of 3 D magnetic inversion indicate that the granites in the deep Weihe Basin are mostly located at the central and southern parts of the basin,which are connected spatially with the granites in the North Qinling Orogenic *** granites were all derived from largescale intra-continental orogeny in the Qinling area during the mid-Mesozoic,providing a good material basis for crust-derived helium in the *** local uplift of the Curie surface makes the thermal fluid more actively,which contributes to helium *** faults developed in the WB are the migration pathway of crust-derived helium and the upward migration of the mantle-derived *** wells with high percentage helium are mostly located near the Weihe fault and the areas on the south of *** Wugong-Xi’an-Lantian area in the central and the Lintong-Weinan-Tongguan area in the eastern Weihe Basin are the most promising helium distribution ***,the region from the north of Taibai Mountain to Baoji City in the western Weihe Basin may also be another potential area of Helium resource.

关键词： Weihe Basin helium accumulation magnetic anomaly three-dimensional inversion Curie point depth

CO2 geological storage into a lateral aquifer of an offshore gas field in the South China Sea： storage safety and project design

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Frontiers of Earth Science 2015年第2期9卷 286-299页

作者： Liang ZHANG Dexiang LI Justin EZEKIEL Weidong ZHANG Honggang MI Shaoran REN school of petroleum engineering China University of Petroleum (Huadong) Qingdao 266580 China Zhanjiang Branch Company of China National Offshore Oil Corporation Zhanjiang 524000 China

The DFI-1 gas South China Sea, contains thus there is great concern field, located in the western a high concentration of CO2, about the need to reduce the CO2 emissions. Many options have been considered in recent years to dispose of the CO2 separated from the natural gas stream on the Hainan Island. In this study, the feasibility of CO2 storage in the lateral saline aquifer of the DF 1-1 gas field is assessed, including aquifer selection and geological assessment, CO2 migration and storage safety, project design, and economic analysis. Six offshore aquifers have been investigated for CO2 geological storage. The lateral aquifer of the DFI-1 gas field has been selected as the best target for CO2 injection and storage because of its proven sealing ability, and the large storage capacity of the combined aquifer and hydrocarbon reservoir geological structure. The separated CO2 will be dehydrated on the Hainan Island and transported by a long- distance subsea pipeline in supercritical or liquid state to the central platform of the DFI-1 gas field for pressure adjustment. The CO2 will then be injected into the lateral aquifer via a subsea well-head through a horizontal well. Reservoir simulations suggest that the injected CO2 will migrate slowly upwards in the aquifer without disturbing the natural gas production. The scoping economic analysis shows that the unit storage cost of the project is approximately US$26-31/ton CO2 with the subsea pipe- line as the main contributor to capital expenditure （CAPEX）, and the dehydration system as the main factor of operating expenditure （OPEX）.

关键词： DFI-1 gas field C02 storage lateral salineaquifer storage safety project design