Department of Petroleum Engineering (2013 - Present)
Petroleum Engineering
Chemical & Petroleum Engineering, Sharif University of Technology, Tehran, Iran
Petroleum Engineering (Reservoir Engineering)
Petroleum & Chemical Engineering, Sharif University of Technology, Tehran, Iran
Chemical Engineering
Chemical & Petroleum Engineering, Sharif University of Technology, Tehran, Iran
Saeid Sadeghnejad received his BSs. from the Sharif University of Technology in 2004 and his MSc and PhD degrees in Petroleum Engineering from the same university in 2006 and 2011, respectively. He worked as a reservoir engineer at various fields including, field development plans (MDP), core analysis (CCAL SCAL), etc. Moreover, from 2009 to 2014, Saeid served as the head of MAPSA technology center (MTC) in Iran, engaged in developing upstream petroleum software packages. He is currently an assistant professor of petroleum engineering at Tarbiat Modares University (TMU), Iran. Saeid also was the head of department of petroleum engineering at TMU (2017-2019). He received the Alexander von Humboldt fellowship for experienced researchers at the Johannes Gutenberg University of Mainz, Germany in 2020. Further information about Saeid can be found at, http:permlab.modares.ac.ir
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
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
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?0.2) NHGs with a collapsed hydrodynamic radius of 60–100?nm. Titration studies revealed the significant effect of the chemical and physical cross-linking on the amounts of accessible carboxyl groups and their
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
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
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
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
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
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
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
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.
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
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
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)
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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