Modeling fluid flow in fractured media is of importance many disciplines, including subsurface water management and petroleum reservoir engineering. Detailed geological characterization a commonly described by discrete-fracture model (DFM), which the fractures rock-matrix are explicitly represented unstructured grid elements. Traditional static-based flow-based upscaling methods used to generate equivalent-continuum models from DFM suffer low accuracy high computational cost, respectively....

Polymer flooding is an effective enhanced oil recovery technology used to reduce the mobility ratio and improve sweep efficiency. A new polymer injection scheme investigated that relies on cyclical of low-salinity, low-concentration slugs chased by high-salinity, high-concentration slugs. The effectiveness process a function several reservoir design parameters related type, concentration, salinity, heterogeneity. We use simulations design-of-experiments (DoE) investigate proposed scheme....

Abstract The tectonic setting of Saudi Arabia enriches the country with significant geothermal resources, such as those in Al-Lith and Jizan southwestern area. Recently, there has been interest to explore potential diversify country's energy-mix, which is driven by Kingdom's Vision 2030. One key challenge systems their low efficiency compared traditional hydrocarbon-fired plants. This inefficiency related thermal flow behavior subsurface energy conversion technology at surface. In this...

Abstract In modeling fractured reservoirs, outcrops may offer useful insights about the subsurface characterization of heterogeneous rock formation. They provide analogs that could be replicated in reservoir to capture fracture and matrix characteristics, which are crucial assess governing recovery mechanisms. Constructing outcrop-based models is a labor-intensive process, subject personal interpretation error. this work, we propose novel workflow for reservoirs within deep learning...

Abstract Geologic CO2 Sequestration (GCS) is a promising engineering technology to reduce global greenhouse emissions. Real-time forecasting of leakage rates an essential aspect large-scale GCS deployment. This work introduces data-driven, physics-featuring surrogate model based on deep-learning technique for rate forecasting. The workflow the development includes three steps: 1) Datasets Generation: We first identify uncertainty parameters that affect objective interests (i.e., rates). For...

Abstract Dispose of plastic waste into surface water causes microplastic (MPs) pollution, which can pollute areas such as in Gajah Mungkur Reservoir (GMR) Indonesia. This research aims to analyze the abundance, shape, and polymer type MPs found GMR area. The samples were collected at three locations (intake SPAM Wosusokas, hydroelectric power plant (outlet), inlet (Check DAM Gedong Keduang River). taken 10 times using a 20 L container then filtered 1.68 mm diameter plankton net (No. 14)....

Abstract History matching is critical in subsurface flow modeling. It to align the reservoir model with measured data. However, it remains challenging since solution not unique and implementation expensive. The traditional approach relies on trial error, which are exhaustive labor-intensive. In this study, we propose a new workflow utilizing Bayesian Markov Chain Monte Carlo (MCMC) automatically accurately perform history matching. We deliver four novelties within workflow: 1) use of...

Abstract The permeability of fractures, including natural and hydraulic, are essential parameters for the modeling fluid flow in conventional unconventional fractured reservoirs. However, traditional analytical cubic law (CL-based) models used to estimate fracture show unsatisfactory performance when dealing with different dynamic complexities fractures. This work presents a data-driven, physics-included model based on machine learning as an alternative methods. workflow development...

Abstract Detailed geological description of fractured reservoirs is typically characterized by the discrete-fracture model (DFM), in which rock matrix and fractures are explicitly represented form unstructured grids. Its high computation cost makes it infeasible for field-scale applications. Traditional flow-based static-based methods used to upscale detailed DFM reservoir simulation suffer from, some extent, low accuracy, respectively. In this paper, we present a novel deep learning-based...

Characterizing in situ polymer rheology porous media is critical before further implementation of injection oilfield. Polymer as non-Newtonian fluid has unique behavior whose viscosity changes over various shear rate. This creates unsuitable conditions which can lead to ineffective sweep efficiency improvement. The challenging issue characterizing the how construct Power Law model since cannot be measured directly. In this study, we use an analytical model. combines material balance...

Abstract The use of iron oxide nanoparticles in electromagnetic heating application has been proven through several investigations to increase the absorption properties reservoir, then, significantly generated temperature. A factor that affects temperature build-up is transport mechanism. When carrier fluid contact with oil, it possible for mass transfer occur. Thus, can diffuse from its oil reservoir. This mechanism advantageous increasing because reduces heat loss. In this study, we...

Abstract Corrosion is a critical problem during Oil/Gas production, especially in sour field, Hydrogen Sulfide the biggest contributor corrosion of production facilities. During period, pipeline will be corroded with reaction between H2S and Fe. This occured differently various temperature which determines rate your becoming thinner then unsafe. paper presents study about phenomena field by analyzing heat transfer to determine every part pipeline. An analytical model for coupled fluid flow...

Abstract This paper presents a study about corrosion-erosion phenomenon in natural gas production pipeline when FeS scale is formed on the inner surface of pipeline. chosen here because its reaction faster and more reactive than other such as FeCO3. A literature was firstly conducted to develop idea model. Several phenomena were considered be best describe process. Then, mathematical model calculate rate derived. The process divided into two steps: fluid flow heat transfer establish...

Corrosion is a critical issue during the development of gas field, especially wet or retrograde field. affects management system field and further impacts amount investment. Therefore, accurate prediction corrosion rate needed to plan an effective preventive action before going phase. One important parameters that should be noticed create formation passive layer. In CO2-H2S environment, there will three possibilities layer: FeS, FeCO3 no this study, we mathematical models determine formed...

Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Water Resources Research. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Enhancing Fracture Network Characterization: A Data-Driven, Outcrop-Based AnalysisAuthorsWeiweiZhuXupengHeiD‪Ryan KurniawanSantoso‬GangLeiiDTadPatzekiDMoranWangiDSee all authors...

Understanding the transport and retention of iron oxide nanoparticles is critical in optimizing electromagnetic heating well stimulation. If injected concentration or injection rate too big, can build-up inside pore throat, which reduce permeability reservoir. A numerical model has been created to describe behavior porous media. The coupling material balance equation fluid flow media equations. There are six parameters be estimated through matching with experimental data: irreversible...

The existence of passive layer is important to control the corrosion-erosion rate in gas production pipes. However, can lead two possible conditions: protection or scale build-up. Accurate prediction scaling tendency needed plan treatment and operating condition during from field. In this study, we develop mathematical model predict consists basic equations: precipitation erosion equation. Precipitation calculated using semi-empirical correlation Salama (2000) Then, a modified parameter...

Abstract Electromagnetic heating has been recently introduced as an effective technology to enhance production of heavy and extra-heavy oil reservoir. Several investigations using metal oxide nanoparticles have successfully proven increase the effectiveness process. Nanoparticles act thermal-conducting agent during Thus, heat distribution along reservoir strongly depends on (concentration profile reservoir). In this study, we develop a mathematical model characterize concentration injection...

Abstract Corrosion and erosion are the common pipe-integrity issues that occur when carbon dioxide, hydrogen sulfide sand exist in gas stream at same time. is developed by reaction among iron, while physical damage through flowing sand. When it comes to prediction model which could accommodate both events, complex phenomena related physics, chemistry metallurgy should be put into account. In this paper, we develop a new-integrated corrosion-erosion can calculate rate considering interactions...

Fractures and their connectivity are essential for fluid flow in low perme-ability formations. Abundant outcrops can only provide two-dimensional (2D) information, but subsurface fractures three-dimensional (3D). The percola-tion status of 3D fracture networks 2D cross-section maps rarely investigated simultaneously. In this work, we construct with geometries characterized by different stochastic distributions. Then, take to mimic real label clusters check the percolation maps. properties,...