En
  • دکتری (1390)

    مهندسی نفت

    دانشگاه صنعتی شریف، تهران، ایران

  • کارشناسی‌ارشد (1385)

    مهندسی نفت (مخازن هیدروکربوری)

    دانشگاه صنعتی شریف، تهران، ایران

  • کارشناسی (1383)

    مهندسی شیمی

    دانشگاه صنعتی شریف، تهران، ایران

  • آنالیز مغزه دیجیتال و مدلسازی در مقیاس حفره سنگهای کربناته
  • مشخصه سازی مخازن با استفاده از هوش مصنوعی و یادگیری ماشین
  • ازدیاد برداشت به روش تزریق پلیمر/ژل هوشمند
  • برای اطلاعات بیشتر به ادرس زیر مراجعه نمایید http://permlab.modares.ac.ir/
  • آزمایشگاه مهندسی نفت و مدلسازی مخزن (PermLab)

سعید صادق نژاد در سال 1379 در مقطع کارشناسی دانشگاه صنعتی شریف پذیرفته شد و مقاطع ارشد و دکترای خود را به ترتیب در سال های 1385 و 1390 از دانشگاه صنعتی شریف در رشته مهندسی نفت (مخازن هیدروکربوری) دریافت نمود. وی از سال 1386 الی 1393 در صنعت نفت با عنوان کارشناس ارشد مهندسی نفت در پروژه هایی چون توسعه میادین، برنامه ریزی و نظارت بر پروژه های آنالیز مغزه و طراحی نرم افزارهای بالادستی مهندسی نفت فعالیت داشته است. دکتر صادق نژاد از سال 1388 تا 1391 مدیر مرکز فناوری مپصا بوده است. ایشان از سال 1393 عضو هیات علمی گروه مهندسی نفت دانشکده مهندسی شیمی در دانشگاه تربیت مدرس شدند. همچنین از 1397 الی 1399 به عنوان مدیر گروه مهندسی نفت فعالیت خود را ادامه داده اند. ایشان در سال 2020 برنده جایزه Alexander von Humboldt شدند که در دانشگاه Johannes Gutenberg University of Mainz در کشور آلمان به عنوان محقق در حال همکاری می باشند. اطلاعات تکمیلی از آدرس زیر قابل دسترسی می باشد: http:permlab.modares.ac.ir

ارتباط

رزومه

Conformance control study of preformed particle gels (PPGs) in mature waterflooded reservoirs: numerical and experimental investigations

Amir Farasat, Hossein Younesian-Farid, Saeid Sadeghnejad
Journal PapersJournal of Petroleum Science and Engineering , 2021 February 25, {Pages 108575 }

Abstract

Improving conformance control in reservoirs with a heterogeneous permeability distribution is the objective of many enhanced oil recovery (EOR) methods. In recent years, the injection of preformed particle gels (PPG) is suggested as an effective EOR method to control the in-depth conformance of waterfronts. In this study, a new mathematical transport model of PPG injection in mature waterflooded reservoirs is developed. The model is based on the experimental results of PPG swelling ratio and entrapment analyses in a carbonate rock sample. The entrapment is considered a function of the PPG-to-pore size ratio, fluid velocity, temperature, salinity, PPG concentration, and swelling ratio. The formulations of the resistance factor (RF) and resid

Acid pre-flushing evaluation before pH-sensitive microgel treatment in carbonate reservoirs: Experimental and numerical approach

A Koochakzadeh, H Younesian-Farid, S Sadeghnejad
Journal PapersFuel , Volume 297 , 2021 August 1, {Pages 120670 }

Abstract

pH-sensitive microgel flooding is a deep conformance control technique in which the microgel viscosity depends on formation pH. Lowering the formation pH by an acid pre-flushing treatment guarantees easy injection of these microgels. The applications of these microgels were mainly dedicated to sandstones in the literature. However, this study provides an integrated laboratory and numerical modeling approach to find a proper pre-flushing acid in carbonates. The performance of various acids (strong and weak) is evaluated via batch experiments (static tests). The dynamic of acid pre-flushing (dynamic test) and pH-sensitive microgel injection are investigated by flooding experiments. A compositional reactive flow model (advection-diffusion-reac

Well-to-well correlation and identifying lithological boundaries by principal component analysis of well-logs

AM Karimi, S Sadeghnejad, M Rezghi
Journal Papers , , {Pages }

Abstract

Estimation of Total Organic Carbon in Source Rocks by Using Back-propagation Artificial Neural Network and Passay Method-A Case Study

AH Saeedi Dehaghani, S Sadeghnejad, M Soltaninejad, A Tajikmansori
Journal Papers , , {Pages }

Abstract

Digital rock physics, chemistry, and biology: challenges and prospects of pore-scale modelling approaches

S Sadeghnejad, F Enzmann, M Kersten
Journal Papers , , {Pages }

Abstract

Evaluation of 3D printed microfluidic networks to study fluid flow in rocks

SM Mousavi, S Sadeghnejad, M Ostadhassan
Journal Papers , , {Pages }

Abstract

Dual physically and chemically cross-linked polyelectrolyte nanohydrogels: Compositional and pH-dependent behavior studies

Marjan Ashrafizadeh, Kam Chiu Tam, Aliyar Javadi, Mahdi Abdollahi, Saeid Sadeghnejad, Alireza Bahramian
Journal PapersEuropean Polymer Journal , Volume 122 , 2020 January 5, {Pages 109398 }

Abstract

This study describes the composition-property relationship of a dual chemically and physically cross-linked nanohydrogel (NHG) containing a high concentration of hydrophilic pH-sensitive acrylic acid (AA). The physical and chemical cross-linking were incorporated using the aggregation of hydrophobic butyl acrylate (BA) and covalent bond of a bifunctional monomer (ethylene glycol dimethacrylate), respectively. Implementing a direct one-pot semi-batch emulsion polymerization technique in an acidic condition yielded monodispersed (PDI?

Modeling geochemical reactions of citric acid with ankerite cement during sandstone matrix acidizing

H Younesian-Farid, S Sadeghnejad
Journal PapersJournal of Petroleum Science and Engineering , Volume 185 , 2020 February 1, {Pages 106650 }

Abstract

Reactive flows in porous media have complex behavior that is influenced by the properties of rocks (eg, composition, structure) and fluids. In this study, the interaction of citric acid, as a weak acid, with a sandstone core containing ankerite cement was investigated during matrix acidizing. The model, developed in Python, implemented a global implicit numerical approach to consider acid-rock geochemical interactions. The effect of multi-step dissociation of citric acid on lowering rock pH was investigated. The sugar-lump approach was used to estimate the behavior of the ions concentration originated from the variation of the reactive surface area (RSA). The model outputs were validated against matrix sandstone acidizing experiments from t

Investigation of rock and fluid interactions during engineered water flooding in dolomite reservoir rocks

Mir Saeid Safavi, Mohsen Masihi, Ali Akbar Safekordi, Shahab Ayatollahi, Saeid Sadeghnejad
Journal PapersEnergy Sources, Part A: Recovery, Utilization, and Environmental Effects , 2020 March 7, {Pages 19-Jan }

Abstract

Engineered water (EW) flooding is one of the enhanced oil recovery (EOR) techniques in carbonate reservoirs. In this method, the wettability of reservoir rock is altered by controlling the amount of various ions in the injected brine. The thermodynamics of wettability is related to the surface interactions and stability of water film on a rock surface. It can be identified by calculating disjoining pressure isotherms. In this study, core flooding tests, contact angle and zeta potential measurements along with the disjoining pressure isotherm calculation by the DLVO theory were used to investigate the wettability alteration of dolomite rock. Four brines include reservoir formation water (RFW), sea water (SW) and two engineered water (LSW1 an

Experimental Evaluation of Enhanced Oil Recovery by pH-sensitive Microgels in Carbonate Formations

A Koochakzadeh, M Ashrafizadeh, S Sadeghnejad
Conference Papers82nd EAGE Annual Conference & Exhibition , Volume 2020 , Issue 1, 2020 December 8, {Pages 05-Jan }

Abstract

One of the main issues during waterflooding is the early-breakthrough of the injected water through high permeable strata that reduces oil production. One remedy to postpone this problem is the implementation of pH-sensitive gel polymers. Acid pre-flushing is sometimes required to decrease near-wellbore pH and guarantee deep conformance control. Microgels have low viscosity at a low pH environment. The geochemical reactions between rock minerals and microgels increase the rock pH; consequently, microgels swell and close high permeable strata far from injection wells. In this study, various experimental analyses are performed to investigate the application of pH-sensitive polymers as a deep conformance control agent in a Middle East carbonat

A Hybrid Image Processing Approach to Enhance Signal to Noise Ratio of Carbonate Micro CT-Images

A Moslemipour, S Sadeghnejad, J Gostick
Conference Papers82nd EAGE Annual Conference & Exhibition , Volume 2020 , Issue 1, 2020 December 8, {Pages 05-Jan }

Abstract

Pore network extraction is mostly used for constructing digital cores and computing complex rock properties. However, this method strongly depends on the quality of CT-scanning, which can vary due to several factors (e.g., low X-Ray radiation exposure time). The segmentation of these images needs several processing steps to obtain a segmented image. In this study, de-noising filters such as Non-local means, Gaussian, and Median filters are applied to the acquired CT-images to reduce noise. The wave transformation equation is used to extract a homogeneous image. To remove the shadow effect from images, we used the Sobel algorithm to detect edge pixels first and assign them to pore or grain phases based on a threshold value. All codes are imp

Investigation of acid pre-flushing and pH-sensitive microgel injection in fractured carbonate rocks for conformance control purposes

Alireza Teimouri, Saeid Sadeghnejad, Amir Hossein Saeedi Dehaghani
Journal PapersOil & Gas Science and Technology–Revue d’IFP Energies nouvelles , Volume 75 , 2020 January , {Pages 52 }

Abstract

Waterflooding in fractured reservoirs is a challenging task due to the presence of high conductive flow pathways such as fractures. Much of the injected water passes through fractures without sweeping the oil in the low permeable area, which results in an early breakthrough. Implementing deep conformance control techniques can be a remedy for this early water breakthrough. pH-sensitive microgel injection is a conformance control method in which the dependency of microgel viscosity to pH guarantees easy injection of these microgels into formations at low pH environments. Because of the geochemical reactions among rock minerals, microgels, and a pre-flushing acid, the microgel pH increases; therefore, these microgels swell and block high cond

Fluid and rock heterogeneity assessment of gas condensate reservoirs by wavelet transform of pressure-transient responses

Nader Faramarzi, Saeid Sadeghnejad
Journal PapersJournal of Natural Gas Science and Engineering , Volume 81 , 2020 September 1, {Pages 103469 }

Abstract

The response of gas condensate reservoirs is directly influenced by heterogeneity. In such reservoirs, condensate is created around wellbore areas, when the reservoir pressure falls below the dew point pressure. Consequently, the distribution of this condensate bank makes fluid flow in the reservoir even more complicated by changing rock-fluid properties (e.g., relative permeability). This alteration can be assumed as a new heterogeneity, called fluid heterogeneity. The separation of fluid heterogeneity from rock heterogeneity is a challenging task. The main idea of this study is to investigate the transient pressure responses of a gas condensate reservoir to separate rock and fluid heterogeneities. Different homogeneous and heterogeneous r

Dual-Scale Pore Network Reconstruction of Vugular Carbonates using Multi-Scale Imaging Techniques

Abolfazl Moslemipour, Saeid Sadeghnejad
Journal PapersAdvances in Water Resources , 2020 October 28, {Pages 103795 }

Abstract

Vuggy carbonate rocks have a complex geometry with pore size ranges from nano to several millimeters (e.g., vugs). Compared to other rocks (e.g., sandstones), this multiscale nature makes pore-scale studies very challenging. Vugs have significant effects on rock properties (e.g., porosity, permeability, capillary pressure, etc.) by establishing high conductive pathways. Multiscale pore network models can capture pores across various length scales and can be used to predict the flow behavior of these porous systems. In this study, a dual-scale PNM is implemented to reconstruct the behavior of a vuggy carbonate sample. The rock sample is CT scanned at two different scales. At the macro-scale (i.e., vugular-network), a medical-CT scanner is us

Optimal Well Placement Using Machine Learning Methods: Multiple Reservoir Scenarios

Seyed Mahdi Mousavi, Hadi Jabbari, Mahdi Darab, Meysam Nourani, Saeid Sadeghnejad
Conference PapersSPE Norway Subsurface Conference , 2020 November 2, {Pages }

Abstract

Determining the distribution of optimal injection and production wells along with their operating conditions is a complex problem. The objective of this study is to compare the effectiveness of an experimental based approach (central composite design, CCD) with a machine learning method (xGBoost) in a well-placement optimization application.

Experimental Investigation of Acid Injection on Fracture Opening in Calcite and Dolomite Reservoirs

علیرضا تیموری, سعید صادق نژاد, امیرحسین سعیدی دهاقانی‎
Journal Papers , , {Pages }

Abstract

Effect of silica nanoparticle size on the mechanical strength and wellbore plugging performance of SPAM/chromium (III) acetate nanocomposite gels

Zahra Azimi Dijvejin, Ahmadreza Ghaffarkhah, Saeid Sadeghnejad, Mohsen Vafaie Sefti
Journal PapersPolymer Journal , Volume 51 , Issue 7, 2019 July , {Pages 693 }

Abstract

Cross-linked polymer gels are a new type of temporary plugging agent and are mainly used to control the leakage of fluid during drilling, completion, and workover operations. Improving the mechanical strength and plugging performance of these materials enables them to resist tough wellbore conditions (eg, high pressure and high temperature). In this study, various concentrations and size of silica nanoparticles are introduced into the sulfonated polyacrylamide (SPAM)/chromium (III) acetate system to produce a nanocomposite with enhanced mechanical properties. First, the rheological behavior of gelant and viscoelastic properties of synthesized nanocomposites are investigated. Then, the surface chemistry and morphology of the synthesized gels

Simultaneous effect of geological heterogeneity and condensate blockage on well test response of gas condensate reservoirs

Shahab Farhoodi, Saeid Sadeghnejad, Amir Hossein Saeedi Dehaghani
Journal PapersJournal of Natural Gas Science and Engineering , Volume 66 , 2019 June 1, {Pages 192-206 }

Abstract

Condensate dropout around a wellbore causes many practical difficulties. It complicates the prediction of fluid flow around a wellbore, especially during well test interpretations. Many researchers have explored the impact of gas condensing on the transient behavior of well-test responses. However, much less attention were paid to the analysis of the combined effect of geological heterogeneity and condensate drop out. In this study, a geostatistical approach (ordinary Kriging) is used to build reservoir models with different amount of heterogeneity. These models are simulated by a compositional reservoir simulator to generate pseudo-pressure data versus time of these heterogeneous models. The common method of the single-phase gas pseudo-pre

Effect of SO4−2 ion exchanges and initial water saturation on low salinity water flooding (LSWF) in the dolomite reservoir rocks

Mir Saeid Safavi, Mohsen Masihi, Ali Akbar Safekordi, Shahab Ayatollahi, Saeid Sadeghnejad
Journal PapersJournal of Dispersion Science and Technology , 2019 May 14, {Pages 15-Jan }

Abstract

The low salinity water injection has become one of the most important studies in the oil industry for improving oil recovery compared to conventional seawater injection. Thus, extensive studies have been conducted in carbonate and sandstone reservoirs to investigate how the physical properties of rocks and the chemical composition of fluids influence low salinity effect, while, the carbonate reservoir rocks requires more investigation of the effect of molecular and/or ionic interactions. In this experimental work, the effectiveness of various water flooding schemes in carbonate reservoir rock samples is investigated. In this regard, the oil recovery potential of seawater (SW), reservoir formation water (RFW) and managed water salinity (MWS)

Geological boundary detection from well-logs: An efficient approach based on pattern recognition

Seyyed Mohammad Amin Partovi, Saeid Sadeghnejad
Journal PapersJournal of Petroleum Science and Engineering , Volume 176 , 2019 May 1, {Pages 444-455 }

Abstract

The knowledge of geological strata sequences and their exact boundaries depths is of a great importance in the characterization of oil and gas reservoirs. The aim of automated well-to-well correlation approaches is to facilitate and accelerate the procedure of geological boundary detection. In this study, we implement an automatic well-to-well correlation approach based on pattern extraction from well-logs. The well-log patterns are recognized by calculating several statistical and fractal parameters. As a fractal parameter, we select the wavelet standard deviation exponent, calculated by the discrete wavelet transform. Furthermore, to select the proper wavelet function, as the heart of wavelet transform, the energy to Shannon entropy ratio

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دروس نیمسال قبل

  • دكتري
    زمين آمار و مدل سازي فضايي مخزن ( واحد)
    دانشکده مهندسی شیمی، گروه مهندسي نفت
  • دكتري
    زمين آمار و مدل سازي فضايي مخزن ( واحد)
  • 1400
    اقابيك, سعيد
    پيش بيني ميزان و مكانيزم ذخيره سازي دي اكسيد كربن در مخازن زير زميني با استفاده از هوش مصنوعي
  • 1400
    شيدوش, سعيد
  • 1400
    صيدي, عليرضا
  • 1398
    مسلمي پور, ابوالفضل
    مشخصه يابي سنگ مخزن ناهمگن با استفاده از بازسازي تصوير چندمقياسه درخت هشت تايي
  • 1399
    بحري, افشين
  • 1400
    رضوي نژاد, جواد
  • استادیار گروه مهندسی نفت، دانشگاه تربیت مدرس (1393 تا 1399)
  • دانشگاه واترلو کانادا (فرصت مطالعاتی)، 1397
  • مدیر مرکز فناوری مپصا (MTC) در بازه (1392-1389)
  • کارشناس ارشد مهندسی مخزن (شرکت مدیریت پروژه های صنعتی ابدال) (1389-1384)
  • مدیر گروه مهندسی نفت (1399-1397)
  • دبیر شورای نظارت، ارزیابی و بهینه سازی عملکرد دانشکده مهندسی شیمی (1399-1397)
  • دانشیار گروه مهندسی نفت، دانشگاه تربیت مدرس (از 1399)
  • محقق وابسته در دانشگاه Johannes Gutenberg-Universität Mainz کشور آلمان در قالب فاند بین المللی Alexander von Humboldt (2020-2022)
  • عضو کمیته راهبردی انجمن محیط متخلخل، شاخه ایران InterPore از سال 1402
  • کسب جایزه دکتر مجتهدي در سال 1389 براي اجراي پروژه نوآورانه ممتاز در تحقیق و توسعه در دانشگاه صنعتی شریف
  • کسب رتبه اول در بین دانشجویان تحصیلات تکمیلی دانشکده مهندسی شیمی و نفت دانشگاه صنعتی شریف در سال 1390
  • کسب گرنت بین المللی Alexander von Humboldt به عنوان محقق برگزیده برای پژوهش در دانشگاه Mainz کشور آلمان (1399)

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