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Practical application of failure criteria in determining safe mud weight windows in drilling operations

Journal of Rock Mechanics and Geotechnical Engineering 2014年第1期6卷 13-25页

作者： R.Gholam a.moradzadeh V.Rasoul J.Hanach Department of Mining Petroleum and Geophysics Shahrood University of Technology Departmentof Petroleum Engineering Curtin University Geological Division Iranian Offshore Oilfield Company

Wellbore instability is reported frequently as one of the most significant incidents during drilling *** of wellbore instability includes estimation of formation mechanical properties and the state of in situ *** this analysis,the only controllable parameter during drilling operation is the mud *** the mud weight is larger than anticipated,the mud will invade into the formation,causing tensile failure of the *** the other hand,a lower mud weight can result in shear failures of rock,which is known as borehole *** predict the potential for failures around the wellbore during drilling,one should use a failure criterion to compare the rock strength against induced tangential stresses around the wellbore at a given mud *** Mohr–Coulomb failure criterion is one of the commonly accepted criteria for estimation of rock strength at a given state of ***,the use of other criteria has been debated in the *** this paper,Mohr–Coulomb,Hoek–Brown and Mogi–Coulomb failure criteria were used to estimate the potential rock failure around a wellbore located in an onshorefield of *** log based analysis was used to estimate rock mechanical properties of formations and state of *** results indicated that amongst different failure criteria,the Mohr–Coulomb criterion underestimates the highest mud pressure required to avoid breakouts around the *** also predicts a lower fracture gradient *** addition,it was found that the results obtained from Mogi–Coulomb criterion yield a better comparison with breakouts observed from the caliper logs than that of Hoek–Brown *** was concluded that the Mogi–Coulomb criterion is a better failure criterion as it considers the effect of the intermediate principal stress component in the failure analysis.

关键词： Mud weight windows Failure criterion Breakout Fracturing Intermediate principal stress

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Simultaneous optimization of electrical interconnection configuration and cable sizing in offshore wind farms

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Journal of Modern Power Systems and Clean Energy 2018年第4期6卷 749-762页

作者： Mohsen SEDIGHI Mohammad moradzadeh Osman KUKRER Murat FAHRIOGLU Department of Electrical and Electronic Engineering Eastern Mediterranean University (EMU) Electrical Engineering Department Sari Branch Islamic Azad University (IAU) Electrical Engineering Department Shahid Rajaee Teacher Training University Department of Electrical and Electronics Engineering Middle East Technical University-Northern Cyprus Campus

Offshore wind farm(OWF) is the largest renewable energy resource. The electrical interconnection cost of OWFs is a considerable fraction of the overall design cost of the farm. In order to minimize the investment and operational costs, this paper proposes an optimization formulation to find the optimal electrical interconnection configuration of wind turbines(WTs), and the optimal cable sizing simultaneously. This simultaneous minimization of total trenching length and cable dimensions creates a complex optimization problem that is solved by the harmony search(HS) algorithm. In this paper, two distinct methods of full and partial optimal cable sizing areconsidered to comprehensively assess the optimal interconnection layout of OWFs. Furthermore, various shipping and burying costs as well as various WTs power ratings are considered in order to investigate their impact on the optimal electrical interconnection system. The optimal electrical interconnection design obtained by the HS algorithm corresponds to a lower cost that together with the technological developments can help policy makers increase the use of offshore wind energy as a feasible unlimited renewable resource in their energy production portfolios.

关键词： Offshore wind farm(OWF) Optimal interconnection configuration Cable sizing Simultaneous optimization Harmony search(HS) algorithm

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Design of hybrid damping controller based on multi-target gravitational search optimization algorithm in a multi-machine power system with high penetration of PV park

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Journal of Central South University 2016年第5期23卷 1163-1175页

作者： Y.Hashemi H.Shayeghi M.moradzadeh A.Safari Technical Engineering Department University of Mohaghegh Ardabili Centre of Excellence for Power System Automation and Operation Department of Electrical EngineeringIran University of Science and Technology Centre for Engineering Innovation Department of Electrical and Computer EngineeringUniversity of Windsor Electrical Energy Laboratory Department of Electrical EnergySystems and AutomationGhent University Department of Electrical Engineering Azarbaijan Shahid Madani University

A mathematical approach was proposed to investigate the impact of high penetration of large-scale photovoltaic park(LPP) on small-signal stability of a power network and design of hybrid controller for these units.A systematic procedure was performed to obtain the complete model of a multi-machine power network including *** damping of oscillations focusing on inter-area oscillatory modes,a hybrid controller for LPP was *** performance of the suggested controller was tested using a 16-machine 5-area *** results indicate that the proposed hybrid controller for LPP provides sufficient damping to the low-frequency modes of power system for a wide range of operating *** method presented in this work effectively indentifies the impact of increased PV penetration and its controller on dynamic performance of multi-machine power network containing *** results demonstrate that the model presented can be used in designing of essential controllers for LPP.

关键词： hybrid controller multi-objective optimization large-scale photovoltaic park small-signal scrutiny

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Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology

Artificial Intelligence in Geosciences

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Artificial Intelligence in Geosciences 2024年第1期5卷 336-358页

作者： Hassan Bagheri Reza Mohebian Ali moradzadeh Behnia Azizzadeh Mehmandost Olya Petroleum Exploration School of Mining EngineeringCollege of EngineeringUniversity of TehranTehranIran School of Mining Engineering College of EngineeringUniversity of TehranTehranIran

Pore size analysis plays a pivotal role in unraveling reservoir behavior and its intricate relationship with confined *** methods for predicting pore size distribution(PSD),relying on drilling cores or thin sections,face limitations associated with depth *** this study,we introduce an innovative framework that leverages nuclear magnetic resonance(NMR)log data,encompassing clay-bound water(CBW),bound volume irreducible(BVI),and free fluid volume(FFV),to determine three PSDs(micropores,mesopores,and macropores).Moreover,we establish a robust pore size classification(PSC)system utilizing ternary plots,derived from the *** the three studied wells,NMR log data is exclusive to one well(well-A),while conventional well logs are accessible for all three wells(well-A,well-B,and well-C).This distinction enables PSD predictions for the remaining two wells(B and C).To prognosticate NMR outputs(CBW,BVI,FFV)for these wells,a two-step deep learning(DL)algorithm is ***,three feature selection algorithms(f-classif,f-regression,and mutual-info-regression)identify the conventional well logs most correlated to NMR outputs in *** three feature selection algorithms utilize statistical *** algorithms are utilized to systematically identify and optimize pertinent input features,thereby augmenting model interpretability and predictive efficacy within intricate data-driven ***,all three feature selection algorithms introduced the number of 4 logs as the most optimal number of inputs to the DL algorithm with different combinations of logs for each of the three desired ***,the CUDA Deep Neural Network Long Short-Term Memory algorithm(CUDNNLSTM),belonging to the category of DL algorithms and harnessing the computational power of GPUs,is employed for the prediction of CBW,BVI,and FFV *** prediction leverages the optimal logs identified in the preceding *** of NMR outputs was done

关键词： NMR log Deep learning Pore size distribution Pore size classification Conventional well logs

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Estimation of Depth to Salt Domes from Normalized Full Gradient of Gravity Anomaly and Examples from the USA and Denmark

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Journal of Earth Science 2009年第6期20卷 1012-1016页

作者： Hamid Aghajani Ali moradzadeh 曾华霖 Faculty of Mining Petroleum and GeophysicsShahrood University of Technology School of Geophysics and Information Technology China University of GeosciencesBeijing

We present an estimation of depth of anomalous bodies using normalized full gradient （NFG） of gravity anomaly. Maxima in the NFG map can locate the bodies and indicate their depth. Model calculation using a sphere and application of the NFG method to gravity anomalies over salt domes in the USA and Denmark shows effectiveness of the method. However, the accuracy of depth estimation strongly depends on the number of term N in the Fourier series used to calculate the NFG. An optimum N for the calculation can be given from a test.

关键词： depth estimation anomalous body normalized full gradient gravity anomaly Fourier series.

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Determining the Gender of Nano-Fossils in the Lower Part of the Abtalkh Formation (150 M Primary)

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Open Journal of Geology 2016年第11期6卷 1481-1498页

作者： Jafar Ghomi Bahram moradzadeh Islamic Azad University Chalous Branch Chalous Iran

A structural zone of Dagh Kopet as sediment (Trough) has created in the late Triassic. There are two different views of Dagh Kopet zone: A) Eurasian theory;B) Gondwana theory. The main fault zones are divided into two groups of foundation faults and overthrust. Abtalkh formation is one of the most important Late Cretaceous rock units in the Kopet Dagh sediment Basin and the geographic location of the study area is "03'43°37 north latitude and "47'35°55 the east. The calcareous nannoplanktons are the first links in the food chain and are the main producers in the seas and oceans. The calcareous Nannoplankton is found in fine sediments such as shale and marl and for study and examination;the presence of trace amounts of sample is enough. The calcareous Lannoplankton is used to identify and introduce Nannofossils of Abtalkh in the bottom of the cut, to determine biozones available at the cutting zone and comparing it with the world standard, to determine their age. In the study section, Nannofossil is in glauconitic sandstone, conglomerate, siltstone, marl, shale, limestone, clay, marl and clay marl and Chuck. Their small size makes that a very small amount of samples are sufficient for the study. The most important method for sample preparation in this study is a smear slide method. In laboratory studies and identification of Nannofossil and counting them, the optical microscope and the object lens 50* and 100* are used. To take pictures of samples, 100× objective lens and digital camera were used. In the course of this study, for the lower part of Abtalkh, Aytamir cutting was studied and 12 genera were identified. The calcareous Nannofossils were recognized and have relatively good diversity and abundance. In general, the greater thickness of the study samples had an average preservation. In some cases, the impact of dissolution was so great that the wall or part of the main sections of the species was corroded.

关键词： Structural Zone Kopet Dagh Trough Abtalkh Formation Calcareous Nannoplankton

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碳酸盐岩储集层岩石物性变化与结构变形实验

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石油勘探与开发 2019年第3期46卷 542-551页

作者： SALIMIDELSHAD Yaser moradzadeh Ali KAZEMZADEH Ezatallah POURAFSHARY Peyman MAJDI Abbas School of Mining Engineering College of Engineering University of Tehran Faculty of Research and Development in Upstream Petroleum Industry Research Institute of Petroleum IndustryTehran Department of Petroleum Engineering School of Mining and Geosciences Nazarbayev University

为研究压力对碳酸盐岩孔隙结构、岩石物理性质等方面的影响,在压力循环加载条件下对伊朗西南部South-Pars气田下三叠统Kangan组2个碳酸盐岩柱状岩心样品进行孔隙度、渗透率、CT扫描、扫描电子显微镜(SEM)、弹性波速度等分析。在2个岩心... 详细信息

为研究压力对碳酸盐岩孔隙结构、岩石物理性质等方面的影响,在压力循环加载条件下对伊朗西南部South-Pars气田下三叠统Kangan组2个碳酸盐岩柱状岩心样品进行孔隙度、渗透率、CT扫描、扫描电子显微镜(SEM)、弹性波速度等分析。在2个岩心样品中,一个样品为方解石,另一个为含硬石膏结核的白云石,分别以6个阶段循环施加13.79 MPa和27.58 MPa的负载压力,统计分析2个样品在不同压力加载/卸载阶段下的物性变化特点。结果表明,方解石样品的孔隙度和渗透率随压力载荷的增加而减小,这与纵波和横波速度测试的结果一致。在白云石样品中则没有观察到这种趋势。在纵波和横波速度分析中可观察到压力加载阶段速度发生起伏,这可能是由于孔隙具有不同几何形状和样品中的孔隙发生变化所致。研究碳酸盐岩物性随压力的变化有助于优化调整油气藏开发方案。

关键词：压力循环加载岩石物性碳酸盐岩储集层 CT扫描 South-Pars气田下三叠统Kangan组结构变形

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Experimental investigation of changes in petrophysical properties and structural deformation of carbonate reservoirs

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Petroleum Exploration and Development 2019年第3期46卷 565-575页

作者： SALIMIDELSHAD Yaser moradzadeh Ali KAZEMZADEH Ezatallah POURAFSHARY Peyman MAJDI Abbas School of Mining Engineering College of Engineering University of Tehran Tehran *** Iran Faculty of Research and Development in Upstream Petroleum Industry Research Institute of Petroleum Industry Tehran *** Iran Department of Petroleum Engineering School of Mining and Geosciences Nazarbayev University Astana 010000 Kazakhstan

To examine the effect of pressure on pore structure and petrophysical properties of carbonate rock, the porosity, permeability, CT scanning, SEM and elastic wave velocity of two carbonate core plug samples from an oilfield in Southwest Iran were analyzed under cyclic pressure. One of the plugs was calcite and the other was dolomite with anhydrite nodules. The cyclic pressure exerted on the samples increased from 13.79 MPa to 27.58 MPa in six steps, and the variations in petrophysical properties of the two samples at different pressure loading and unloading steps were counted and analyzed. The results show that the calcite sample decreases in porosity and permeability with the increase of pressure, which is consistent with the results from compression and shear wave velocity tests. In the dolomite sample, the decreasing trend was not observed;fluctuations of compressive and shear velocities were observed during the loading stage, which may be due to different geometries of the pores and the porosity variation in the sample. Understanding the variation of carbonate petrophysical properties with pressure is helpful for optimizing reservoir development scheme.

关键词： cyclic pressure loading petrophysical property carbonate reservoir, CT scan rock physical property structure deformation

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Hole Cleaning Prediction in Foam Drilling Using Artificial Neural Network and Multiple Linear Regression

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Geomaterials 2014年第1期4卷 47-53页

作者： Reza Rooki Faramarz Doulati Ardejani Ali moradzadeh Birjand University of Technology Birjand Iran Shahrood University of Technology Shahrood Iran

Foam drilling is increasingly used to develop low pressure reservoirs or highly depleted mature reservoirs because of minimizing the formation damage and potential hazardous drilling problems. Prediction of the cuttings concentration in the wellbore annulus as a function of operational drilling parameters such as wellbore geometry, pumping rate, drilling fluid rheology and density and maximum drilling rate is very important for optimizing these parameters. This paper describes a simple and more reliable artificial neural network (ANN) method and multiple linear regression (MLR) to predict cuttings concentration during foam drilling operation. This model is applicable for various borehole conditions using some critical parameters associated with foam velocity, foam quality, hole geometry, subsurface condition (pressure and temperature) and pipe rotation. The average absolute percent relative error (AAPE) between the experimental cuttings concentration and ANN model is less than 6%, and using MLR, AAPE is less than 9%. A comparison of the ANN and mechanistic model was done. The AAPE values for all datasets in this study were 3.2%, 8.5% and 10.3% for ANN model, MLR model and mechanistic model respectively. The results show high ability of ANN in prediction with respect to statistical methods.

关键词： Foam Drilling Hole Cleaning Artificial Neural Network Multiple Linear Regression

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Coordinated Voltage Control via Distributed Model Predictive Control

Coordinated Voltage Control via Distributed Model Predictive...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Mohamamd moradzadeh Lokesh Bhojwani René Boel SYSTeMS Research Group Department of Electrical energysystems and automationUniversity of Ghent Indian Institute of Technology Roorkee

Over the past decades many voltage collapse incidents have occurred,caused by uncoordinated interactions of local controllers,following a major disturbance in electric power system operating closer and closer to their safety *** most voltage control schemes are rule-based and only rely on local *** the availability of wide-area phasor measurements （WAMS/PMU） suggests that the risk of voltage collapse could be reduced by coordinating control actions in neighboring control regions of the *** paper shows how distributed model predictive control （MPC） can be used in order to design such a coordinating *** control agents carry out an on-line optimization by comparing the plant behavior over a finite window in time,for different possible switching sequences of the local tap changing transformer （LTC）.The evolution of the plant behavior is obtained by a fast Modelica simulation of the hybrid systems model,using information on the tap switching sequences that neighboring control regions are planning to implement on their *** simulation of a 12-bus power system this paper shows that the distributed MPC controllers can prevent,or at least postpone,voltage collapse in circumstances where classical uncoordinated controllers *** required communication exchange is very limited,making practical applications *** extensions to larger systems will require consideration of modeling abstractions of neighboring control regions,so as to keep the simulation time for each local decision maker short.

关键词： Coordinated voltage control LTC OXL Distributed MPC

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