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Petroleum 2020年第3期6卷 304-310页

作者： Ghasem Zargar Abbas Ayatizadeh Tanha Amirhossein Parizad Mehdi Amouri Hasan Bagheri Petroleum University of Technology Iran National Iranian Drilling Company Well Logging DepartmentAhwazIran Petro Gostaran Ofogh(PGO) Mud Logging DepartmentAhwazIran

This work highlights the application of Artificial Neural Networks optimized by Cuckoo optimization algorithm for predictions of NMR log parameters including porosity and permeability by using field log *** NMR logging data have some highly vital privileges over conventional *** measured porosity is independent from bearer pore fluid and is effective porosity not ***,the permeability achieved by exact measurement and calculation considering clay content and pore fluid *** availability of the NMR data brings a great leverage in understanding the reservoir properties and also perfectly modelling the ***,achieving NMR logging data by a model fed by a far inferior and less costly conventional logging data is a great *** input parameters of model were neutron porosity(NPHI),sonic transit time(DT),bulk density(RHOB)and electrical resistivity(RT).The outputs of model were also permeability and porosity *** structure developed model was build and trained by using train *** and statistical validation of results showed that the developed model is effective in prediction of field NMR log *** show great possibility of using conventional logging data be used in order to reach the precious NMR logging data without any unnecessary costly tests for a ***,the considerable accuracy of newly ANN-Cuckoo method also *** study can be an illuminator in areas of reservoir engineering and modelling studies were presence of accurate data must be essential.

关键词： Neural network ANN-Cuckoo NMR logging Permeability modeling Porosity modeling

Fracture permeability estimation utilizing conventional well logs and flow zone indicator

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Petroleum Research 2022年第3期7卷 357-365页

作者： Hassan Bagheri Reza Falahat Faculty of Petroleum Engineering Sahand University of TechnologyTabrizIran well logging department National Iranian Drilling CompanyAhvazIran

Characteristics of the natural open fractures on the oil and gas reservoirs is crucial in drilling and production planning. Direct methods of fractures studies such as core analysis and image log interpretation are usually not performed in all drilled wells in a field. Therefore, in absence of these data, the indirect methods can play an important role. In this study, an integrated algorithm is introduced to identify the fractures and estimate its permeability employing conventional well logs. First, open fractures were identified and their properties including density, aperture, porosity and permeability were estimated using FMI log. Subsequently, the fracture index log (FR_Index) was estimated utilizing conventional logs including density, micro-resistivity, sonic (compressional, shear and stoneley slownesses), and caliper logs. After that, the fracture index permeability was estimated by improving the FZI permeability equation. The coherence coefficient between two estimated fracture permeability logs is 0.66. A good correlation is observed on the high permeability zones, but the lower correlation on the low permeability zones. It is notified that, in the high fracture permeability zones, the conventional logs are heavily impacted by fracture permeability. However, due to lower vertical resolution of conventional logs compared with the image logs, the conventional logs are less influenced by less dense fracture zones. However, this algorithm can be used with acceptable accuracy in all uncored and image log wells.

关键词： Fracture index Fractures permeability Flow zone index Conventional logs Image log

Valuable Data Extraction for Resistivity Imaging logging Interpretation

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Tsinghua Science and Technology 2020年第2期25卷 281-293页

作者： Yili Ren Renbin Gong Zhou Feng Meichao Li Institute of Computer Application Technology PetroChina Research Institute of Petroleum Exploration and Development(RIPED)Beijing 100083China department of well logging&Remote Sensing Technology of RIPED Beijing 100083China

Imaging logging has become a popular means of well logging because it can visually represent the lithologic and structural characteristics of *** manual interpretation of imaging logging is affected by the limitations of the naked eye and experiential *** a result,manual interpretation accuracy is ***,it is highly useful to develop effective automatic imaging logging interpretation by machine *** imaging logging is the most widely used technology for imaging *** this paper,we propose an automatic extraction procedure for the geological features in resistivity imaging logging *** procedure is based on machine learning and achieves good results in practical *** that the existence of valueless data significantly affects the recognition effect,we propose three strategies for the identification of valueless data based on binary *** compare the effect of the three strategies both on an experimental dataset and in a production environment,and find that the merging method is the best performing of the three *** effectively identifies the valueless data in the well logging images,thus significantly improving the automatic recognition effect of geological features in resistivity logging images.

关键词： machine learning binary classification multiclass classification outlier detection imaging logging

Predicting density log from well log using machine learning techniques and heuristic optimization algorithm:A comparative study

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Petroleum Research 2024年第2期9卷 176-192页

作者： Mehdi Rahmati Ghasem Zargar Abbas Ayatizadeh Tanha National Iranian Drilling Company Well Logging DepartmentAhwazIran Faculty Member of Petroleum University of Technology Iran department of Petroleum Engineering Tarbiat Modares UniversityTehranIran

In the petroleum industry,the analysis of petrophysical parameters is critical for efficient reservoir management,production optimization,development strategies,and accurate hydrocarbon reserve *** recent years,the integration of machine learning methodologies has revolutionized the field,addressing challenges in geology,geophysics,and petroleum engineering,even when confronted with limited or imperfect *** study focuses on the prediction of density logs,a pivotal factor in evaluating reservoir hydrocarbon *** is important to note that during well logging operations,log data for specific depths of interest may be missing or incorrect,presenting a significant *** tackle this issue,we employed the Adaptive Neuro-Fuzzy Inference System(ANFIS)and Artificial Neural Networks(ANN)in combination with advanced optimization algorithms,including Particle Swarm Optimization(PSO),Imperialist Competitive Algorithms(ICA),and Genetic Algorithms(GA).These methods exhibit promising performance in predicting density logs from gamma-ray,neutron,sonic,and photoelectric log ***,our results highlight that the Genetic Algorithms-based Artificial Neural Network(GA-ANN)approach outperforms all other methods,achieving an impressive Mean Squared Error(MSE)of *** comparison,ANFIS records an MSE of 0.0015,ICA-ANN 0.0090,PSO-ANN 0.0093,and ANN 0.0183.

关键词： Density log Machine learning approaches Artificial neural networks(ANN) Adaptive neuro-fuzzy inference system(ANFIS) Optimization algorithm

Investigation of production depletion rate effect on the ne ar-wellbore stresses in the two Iranian southwest oilfields|

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Petroleum Research 2020年第4期5卷 347-361页

作者： Khalil Shahbazi Amir Hossein Zarei Alireza Shahbazi Abbas Ayatizadeh Tanha Faculy Member of Petroleur University of Technologx Iran Ahwaz Faculy of Engineering Petroleurm University of Techunology Iran National lrunion Driling Compury Well Logging DepartmentAhwazlran

Effect of depletion rate on wellbore stability due to production of oil from hydrocarbon-bearing reser-voirs is important and can result in a reduction of the reservoir pore pressure.A reduction in the reservoir pressure,in tum,results in a change in the stresses acting within the *** these changes are not well analyzed and applied in future calculations,we may be unsuccessful in some cases such as drilling infill wells or extended wells,forecast of sand production and optimum flow rate,preventing of casing collapse,***,knowing the stresses around the well at every stage of production is fundamental to the next *** this paper,we recognized these changes in near-wellbore stresses using data from logging(image log,dipole sonic,full set log,mud log),production data,infor-mation from kick,blow out,loss *** determined it using Techlog software and theoretical *** wells of two huge oilfields of sw Iran were investigated after depletion or production for long *** each well,state of stresses were calculated in cases of safe drilling mud weight using log data and theoretical *** the end effect of depletion rate on wellbore stability was investigated in these three wells.

关键词： Depletion rate wellbore stability Pore pressure Sand production Near-wellbore stress

Investigation of trend between porosity and drilling parameters in one of the Iranian undeveloped major gas fields

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Petroleum Research 2023年第1期8卷 63-70页

作者： Abbas Ayatizadeh Tanha Amirhossein Parizad Khalil Shahbazi Hassan Bagheri department of Chemical Engineering Tarbiat Modares UniversityTehranIran National Iranian Drilling Company Well Logging DepartmentAhwazIran Petroleum Engineering department Petroleum University of TechnologyAhwazIran Petroleum Exploration College of Mining EngineeringUniversity of TehranIran

Porosity is one of the main parameters that should be considered when a gas or an oil field is ***,the availability of porosity is crucial in any rock and formation ***,this parameter is not always available and direct measurement is scarce and usually is confined to appraisal phase of a ***,in this study it is aimed to find a relationship in order to estimate porosity in afterward *** data of 5 appraisal wells of an undeveloped gas field has been gathered to perform this *** full set wireline logging data and drilling data were *** data inherit high level of fluctuation which is normal with respect to real direct measured *** smoothed curving was utilized and as a result,the fluctuation was diminished considerably and the feasibility of carrying out the investigation was being established,*** normalize and gather drilling data in a parameter in order to have a better view and investigation,sigmalog method was *** was observed that there is a clear exponential relationship between porosity and drilling data and curve fitting was utilized to conduct a numerical *** curve fitting was established with R^(2)=0.83 and a trustworthy fitting *** results demonstrate the possibility of porosity estimation by using drilling ***,a numerical relationship is given for a specific *** porosity estimation can lead to better analysis of newly drilled rocks and formations leading to more efficient field development strategies.

关键词： Porosity Drilling data Sigmalog D exponent Wireline logging

Research on the Damage of Porosityand Permeabilitydue to Perforation on Sandstone in the Compaction Zone

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Computers, Materials & Continua 2016年第1期51卷 21-42页

作者： Shifeng Xue Xiuxing Zhu Lin Zhang Shenghu Zhu Guigen Ye Xuejun Fan departmentof Engineering Mechanics China University of PetroleumQingdao 266580China well logging Company ShengliOil Engineering Co.Ltd.Dongying 257000China Schlumberger Drilling Dynamic Solution Beijing 100022China department of Mechanical Engineering Lamar UniversityBeaumontTX 77710USA

A perforating hole is a channel through which the oil and gas in a reservoir pass into the production well *** the process of perforating due to explosion,the surrounding sandstone will be damaged to a certain extent,which will increase the well bore skin and lead to the decrease of production *** this work a mechanical model of perforating damage is developed to describe the influences of perforating due to explosion on the porosity and permeability of the surrounding sandstone near the compaction *** on this developed model,the important data related to the damage of sandstone,such as matrix effective stress,plastic deformation,volumetric strain,and so on,can be numerically *** the behaviors of plasticity kinematic hardening at high strain rate due to impact loads,which are the important characteristics in the sandstone,is taken into account in this developed *** numerical and testing results show that the damage due to perforation in the sandstone can be accurately predicted by the developed model together with the porosity and permeability evolving model of perforation in a compaction *** a practical application,a methodology for the analysis of damage of porosity and permeability around a perforation tunnel is supposed based on the developed model and the core flow efficiency test of interparticle pore spaced sandstone target in China Shengli Oilfield and the computed tomography test.

关键词： zone. sandstone reservoir

Clay Minerals Properties as Downhole Formation Pressure Indicator

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Journal of Chemistry and Chemical Engineering 2011年第11期5卷 990-994页

作者： Dmitry Kozhevnikov Kazimir Kovalenko Andrey Gorodnov Ivan Deshenenkov well logging department Gublan Russian State University of Oil and Gas Moscow 119991 Russia

The successful estimation of formation pressures （or formation pore gradient） is fundamental and the basis for many engineering works including drilling and oilfield development planning. Common log data are used for formation pressure calculation. Modern techniques for pressure prediction have several disadvantages, notably, incorrect account of the downhole nonsteady thermal field and clay mineral composition. We propose a way to overcome listed shortcomings： a technique for thermal field proper account while formation pressure estimation and a petrophysical model, which reflects relationships between clay minerals composition and rock properties, derived from log data.

关键词： Formation pressure clay minerals overpressure temperature effect undercompaction petrophysics log data.

Investigation of quality factor frequency content in vertical seismic profile for gas reservoirs

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Petroleum Research 2021年第1期6卷 57-65页

作者： Ehsan Larki Abbas Ayatizadeh Tanha Amirhossein Parizad Bahram Soltani Soulgani Dr Hassan Bagheri National Iranian Drilling Company Well Logging DepartmentAhwazIran Petroleum University of Technology Ahwaz Faculty of Petroleum EngineeringAhwazIran Sahand University of Technology Petroleum Exploration EngineeringTabrizIran department of Petroleum Engineering Ahwaz Faculty of Petroleum EngineeringPetroleum University of Technology(PUT)AhwazIran

Since long ago, indirect study of the underground layers properties has been interesting to *** method for this study was seismography which gained great interest besides other tools due to thedifferent identity of waves and energy attraction phenomena in different layers. Vertical seismic profiling(VSP) is considered as a valuable method in oil and gas exploration. This method is used to estimate therock properties in a well. In seismic operations elastic waves are sent down to the underground. Part ofthe waves’ energy is reflected after passing through the earth layers and are received by receivers on theground level. The received data determine the situation of the underneath layers after being processed,and one of the most important applications of seismic data is in the oil and gas exploration field. Qualityfactor is one of the most important seismic detectors that shows itself apparently in VSP data results. Themost substantial purpose of this study is to investigate the frequency content of the quality factor.

关键词： Vertical seismic profiling(VSP) Sonic log Seismic waves Quality factor Rock properties Gas reservoir

Discovery and prediction of high natural gamma sandstones in Chang 73 Submember of Triassic Yanchang Formation in Ordos Basin, China

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Journal of Central South University 2019年第7期26卷 1840-1855页

作者： ZHENG Qing-hua LIU Xing-jun YOU Ji-yuan BAI Yun-yun WANG Jing-hui CHEN Xiao-liang School of Chemistry & Chemical Engineering Yulin University Yulin 719000 China Changqing Division China Petroleum Well Logging Limited Company Xi’an 710201 China department of Geology Northwest University Xi’an 710069 China

The large scale development of high natural gamma sandstones has been discovered in the Chang 73 Submember of the Triassic Yanchang Formation in the Ordos Basin, China. High natural gamma sandstones consist of terrigenous detrital rocks with particle sizes ranging from silt to sand. They represent turbidite deposits characterized by high gamma ray values that are more than 180 American Petroleum Institute (API) units on a natural gamma ray log profile. For a long time, very high natural gamma sandstones had been identified as high-quality source rocks, such as oil shales, from conventional well log profiles, such as natural gamma ray well logs. Therefore, predicting the distribution of high natural gamma sandstones was studied. The sedimentary, lithological, and well log characteristics, as well as the genesis of the high radioactivity of high natural gamma sandstones were analyzed in the Chang 73 Submember. Thorium (Th), uranium (U) and other radioactive elements were found, carried by deep hydrothermal activity, and probably resulted in the formation of a relatively high radioactive zone in the cross-section, where high natural gamma sandstones usually develop in large quantities. This caused many turbidite sand bodies, which should have a continuous distribution in the cross-section, to appear to have a discontinuous distribution, when using conventional well log profiles, such as natural gamma ray well logs. From the above mentioned apparent discontinuous distribution of turbidite sand bodies in the cross-section, a continuous distribution can be predicted. It is obvious that the prediction of areas of continuous turbidite sand bodies in the cross-section usually corresponds with areas where high natural gamma sandstones are developed in large quantities. Exploration and development practice demonstrated that the developed method is fast and effective in predicting high natural gamma sandstones in the Chang 73 Submember.

关键词： Ordos Basin Chang 73 Submember high-quality source rock high natural gamma sandstone prediction