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Advances in Hydrocarbon Microseepage Detection: MOST and SSG and their Applications

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Advances in Hydrocarbon Microseepage Detection: MOST and SSG...

海洋地质、矿产资源与环境学术研讨会

作者： daniel C,hitzman Donald O.hitzman Harry H.Mei Geo-Microbial Technologies Inc.(GMT) OK.USA Geo-Microbial Technologies Inc.(GMT) OK.USA Dr. Geo-Microbial Technologies Inc.(GMT) OK.USA Advanced Energy & Envicomental Technologies Inc.(AEET) CA.USA Dr.

Oil and gas accumulations leak. From the birth of the petrolcum industry macmsccpage cvidence of hydrocarbons at the surface has lead to huge oil and gas discoveries. More recently, advances in hydrocarbon microseepage techlatilogies now allows the petroleum explorationist to focus accurate and cost effective surface geochemical tools to complement conventional geological and geophysical methodologies, thus increasing drilling success and avoiding non-commercial hydrocarbon accumulations. Geo-Microbial Technologies (GMT), Ochelata, Oklahoma is a pioneer and leading enterprise in the application of hydrocarbon microseepage technologies. GMT utilizes the Microbial Oil Survey Technique (MOST) and Sorbed Soil Gas (SSG) to explore for oil and gas.

关键词： SSG MOST and SSG and their Applications Advances in Hydrocarbon Microseepage Detection

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微生物油气勘探技术的实践与发展

新疆石油地质 2010年第3期31卷 320-322页

作者：张春林庞雄奇梅海黎茂稳 daniel hitzman 梅博文中国石油大学油气资源与探测国家重点实验室北京102249 盎亿泰地质微生物技术(北京)有限公司北京102200 加拿大联邦地质调查局美国地质微生物技术公司美国俄克拉荷马州74051 长江大学湖北荆州434020

非构造圈闭的识别是非构造油气藏勘探的难点,微生物油气调查技术可根据圈闭中富含的油气与其上方地表土壤中的微生物含量的关系来寻找富集于圈闭内的烃类流体,是一种有效的油气勘探技术,应用该技术已在柴达木盆地、Fort Worth盆地、俄... 详细信息

非构造圈闭的识别是非构造油气藏勘探的难点,微生物油气调查技术可根据圈闭中富含的油气与其上方地表土壤中的微生物含量的关系来寻找富集于圈闭内的烃类流体,是一种有效的油气勘探技术,应用该技术已在柴达木盆地、Fort Worth盆地、俄克拉荷马州Osage县等多处发现了高产的岩性和复杂构造油气藏。目前该技术还需要在轻烃微渗漏原理、微生物的影响因素、微生物的检测技术、数据的地质解释等4个关键环节继续完善。

关键词：微生物油气调查技术非构造油气藏岩性气藏向斜油气藏

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油气微生物检测技术：理论、实践和应用前景

天然气地球科学 2008年第6期19卷 888-893页

作者：梅海林壬子梅博文 daniel hitzman 盎亿泰地质微生物技术(北京)有限公司北京100029 中国石油大学资源信息学院北京102249 长江大学地球化学系湖北荆州434023 美国地质微生物技术公司美国俄克拉荷马州74051

简述了微生物勘探技术(MOST+SSG)的原理和方法。指出:专性烃氧化菌对食物(碳源)的高度选择性决定了MOST技术烃检测结果的唯一性和重现性;全球MOST勘探,特别是岩性地层油气藏勘探的成功范例展现了地震勘探(2D/3D)和微生物勘探(MOST)相结... 详细信息

简述了微生物勘探技术(MOST+SSG)的原理和方法。指出:专性烃氧化菌对食物(碳源)的高度选择性决定了MOST技术烃检测结果的唯一性和重现性;全球MOST勘探,特别是岩性地层油气藏勘探的成功范例展现了地震勘探(2D/3D)和微生物勘探(MOST)相结合的综合勘探模式对于提高勘探成功率,降低勘探风险的重大价值。

关键词：微生物勘探 MOST+SSG 岩性地层油气藏综合勘探模式

Testing and modelling of transient adhesion phenomena in rolling-sliding contacts

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Friction 2024年第5期12卷 1016-1027页

作者： daniel KVARDA Alexander MEIERHOFER Klaus SIX Faculty of Mechanical Engineering Brno University of TechnologyBrno61669Czech Republic Virtual Vehicle Research GmbH Graz8010Austria

Transient adhesion effects in rolling–sliding contacts influence all aspects of train–track *** is of high importance specifically when these effects result in critically low adhesion,which poses a risk to traction and braking of railway *** study presents a model that can replicate the transient changes of the coefficient of adhesion with tested water and solid particle *** experimental data for the model are measured using a commercial ball-on-disc *** experimental results showed a liquid reservoir in front of the contact area that slowly reduces in *** observation was used in the modelling approach to divide the calculation into two stages where the reservoir is present and when it *** model was able to reproduce the occurrence of low adhesion region seen in experimental results with different particle concentrations.

关键词： coefficient of adhesion tribology transient effects wheel-rail contact

Assessment of scale interactions associated with wake meandering using bispectral analysis methodologies

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Theoretical & Applied Mechanics Letters 2024年第2期14卷 65-75页

作者： Dinesh Kumar Kinjangi daniel Foti Department of Mechanical Engineering University of MemphisMemphisTennesseeUSA

Large atmospheric boundary layer fluctuations and smaller turbine-scale vorticity dynamics are separately hypothesized to initiate the wind turbine wake meandering phenomenon,a coherent,dynamic,turbine-scale oscillation of the far *** interactions,the mechanism of energy transfers between scales,manifest as triples of wavenumbers or frequencies and can be characterized through bispectral *** bispectrum,which correlates the two frequencies to their sum,is calculated by two recently developed multi-dimensional modal decomposition methods:scale-specific energy transfer method and bispectral mode ***-eddy simulation of a utility-scale wind turbine in an atmospheric boundary layer with a broad range of large length-scales is used to acquire instantaneous velocity *** bispectrum from both methods identifies prominent upwind and wake meandering interactions that create a broad range of energy scales including the wake meandering *** coherent kinetic energy associated with the interactions shows strong correlation between upwind scales and wake meandering.

关键词： Wind turbine wake Mode decomposition Bispectral analysis

Fundamental error in tree-based machine learning model selection for reservoir characterisation

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Energy Geoscience

Energy Geoscience 2024年第2期5卷 214-224页

作者： daniel Asante Otchere Centre of Excellence in Subsurface Seismic Imaging and Hydrocarbon Prediction Universiti Teknologi PETRONAS32610Seri IskandarPerak Darul RidzuanMalaysia

Over the past two decades,machine learning techniques have been extensively used in predicting reservoir *** this approach has significantly contributed to the industry,selecting an appropriate model is still challenging for most *** solely on statistical metrics to select the best model for a particular problem may not always be the most effective *** study encourages researchers to incorporate data visualization in their analysis and model selection *** evaluate the suitability of different models in predicting horizontal permeability in the Volve field,wireline logs were used to train Extra-Trees,Ridge,Bagging,and XGBoost *** Random Forest feature selection technique was applied to select the relevant logs as inputs for the *** on statistical metrics,the Extra-Trees model achieved the highest test accuracy of 0.996,RMSE of 19.54 mD,and MAE of 3.18 mD,with XGBoost coming in ***,when the results were visualised,it was discovered that the XGBoost model was more suitable for the problem being *** XGBoost model was a better predictor within the sandstone interval,while the Extra-Trees model was more appropriate in non-sandstone *** this study aims to predict permeability in the reservoir interval,the XGBoost model is the most *** contrasting results demonstrate the importance of incorporating data visualisation techniques as an evaluation *** the heterogeneity of the subsurface,relying solely on statistical metrics may not be sufficient to determine which model is best suited for a particular problem.

关键词： Data visualisation Permeability Machine learning Statistical metrics

Beyond the code:the role of histone methylation in cancer resistance and therapy

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Signal Transduction and Targeted Therapy 2024年第7期9卷 2837-2839页

作者： daniel Noerenberg Frederik Damm Charité–Universitätsmedizin Berlin corporate member of Freie Universität BerlinHumboldt Universität zu Berlinand Berlin Institute of HealthDepartment of HematologyOncologyand Cancer ImmunologyBerlinGermany German Cancer Consortium(Deutsches Konsortium für Translationale Krebsforschung DKTK)Partner SiteBerlinGermany

In a recently published paper in Nature,Yamagishi et *** a comprehensive exploration on the mechanistic basis and subsequent emergence of resistance of targeting histone H3 lysine trimethylation(H3K27me3)using the EZH... 详细信息

关键词： EZH2 al. resistance

Comprehensive review of hepatocellular carcinoma with portal vein tumor thrombus:State of art and future perspectives

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Hepatobiliary & Pancreatic Diseases International 2024年第3期23卷 221-227页

作者： Paschalis Gavriilidis Timothy M Pawlik daniel Azoulay Department of Surgery Colchester General HospitalTurner RoadColchester CO45JLUK Department of Surgery The Ohio State Wexner Medical CenterJames Comprehensive Cancer CenterColumbusOHUSA Department of Hepato-Biliary and Liver Transplantation surgery Paul Brousse University HospitalParis-Saclay UniversityVillejuif 94800France

Background:Despite advances in the diagnosis of patients with hepatocellular carcinoma(HCC),70%-80%of patients are diagnosed with advanced stage *** vein tumor thrombus(PVTT)is among the most ominous signs of advanced stage disease and has been associated with poor survival if *** sources:A systematic search of MEDLINE(PubMed),Embase,Cochrane Library and Database for Systematic Reviews(CDSR),Google Scholar,and National Institute for Health and Clinical Excellence(NICE)databases until December 2022 was conducted using free text and MeSH terms:hepatocellular carcinoma,portal vein tumor thrombus,portal vein thrombosis,vascular invasion,liver and/or hepatic resection,liver transplantation,and systematic ***:Centers of surgical excellence have reported promising results related to the individualized surgical management of portal thrombus versus arterial chemoembolization or systemic *** elements to the individualized surgical management of HCC and portal thrombus include precise classification of the portal vein tumor thrombus,accurate identification of the subgroups of patients who may benefit from resection,as well as meticulous surgical *** review addressed five specific areas:(a)formation of PVTT;(b)classifications of PVTT;(c)controversies related to clinical guidelines;(d)surgical treatments versus non-surgical approaches;and(e)characterization of surgical techniques correlated with classifications of ***:Current evidence from Chinese and Japanese high-volume centers demonstrated that patients with HCC and associated PVTT can be managed with surgical resection with acceptable results.

关键词： Hepatectomy Liver surgery Liver neoplasms Portal vein tumor thrombus

Online Demand Response Characterization Based on Variability in Customer Behavior

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 936-946页

作者： Lester Marrero daniel Sbárbaro Luis García-Santander the Department of Electrical Engineering University of ConcepciónConcepción 4070409Chile

This paper proposes an online framework to characterize demand response(DR)over *** proposed framework facilitates obtaining and updating the daily consumption patterns of *** essential concept of response profile class(RPC)is introduced for characterization and complemented by the measure of the variability in customer *** paper uses a modified version of the incremental clustering by fast search and find of density peaks(CFSFDP)algorithm for daily profiles,considering the multivariate normal kernel density estimator and incremental forms of the Davies-Bouldin(i DB)and Xie-Beni(i XB)validity *** studies conducted using real-world and simulated daily profiles of residential and commercial Chilean end-users have demonstrated how the proposed framework can continuously characterize *** proposed framework is proven to achieve realistic customer models for effective energy management by estimating the customer response to price signals at the distribution system operator(DSO)level.

关键词： Demand response(DR) incremental indice online characterization online clustering response profile class(RPC)