Summary Geologic carbon dioxide (CO2) sequestration has received significant attention from the scientific community as a response to global warming due greenhouse gas emissions. Effective monitoring of CO2 plume is critical storage safety throughout life cycle geologic project. Although simulation-based techniques such history matching can be used for predicting evolution underground saturation, computational cost high-fidelity simulations prohibitive. Recent development in data-driven...

Abstract Reservoir heterogeneity is a great challenge for CO2 Enhanced Oil Recovery (EOR), causing early breakthrough and restricted swept area. The successful application of EOR in mature fields requires development high-resolution geological models. Therefore, field-scale calibration three-phase compositional model, incorporating multiphase production data, necessary. workflow follows two-stage process: global local. In the stage, field target rates average pressure behavior are matched by...

Abstract Rate allocation optimization for water and gas injection/production processes is typically complex, requiring multiple simulations to find the optimal reservoir management strategy improved economic value of asset. The objective this paper develop demonstrate a fast robust derivative-free workflow which improves values via optimizing flooding rate by streamline-based technique. Streamline-based has been demonstrated be powerful tool application waterflood operations. However,...

Summary Diffusive-time-of-flight (DTOF), representing the travel time of pressure front propagation, has found many applications in unconventional reservoir performance analysis. The computation DTOF typically involves upwind finite difference Eikonal equation and solution using fast-marching method (FMM). However, application difference-based FMM to irregular grid systems remains a challenge. In this paper, we present novel robust for solving volume discretization FMM. implementation is...

Abstract Routine well-wise injection and production measurements contain significant information on subsurface structure properties. Data-driven technology that interprets surface data into or properties can assist operators in making informed decisions by providing a better understanding of field assets. Our machine-learning framework is built the statistical recurrent unit (SRU) model well-based injection/production inter-well connectivity without relying geologic model. We test it...

Summary The optimal schedule based on single geologic model may not necessarily result in favorable outcomes the real field due to uncertainty. This paper proposes an efficient workflow evaluate uncertainty of well rates waterflood problems. Specifically, a flow feature clustering method is derived using streamline and unsupervised machine-learning techniques minimize number realizations needed for representation, thus significantly accelerating workflow. Given set historical production...

Summary Monitoring of subsurface fluid motion is critical for optimizing hydrocarbon production and CO2 sequestration. Streamlines are frequently used to visualize flow; however, they provide only an instantaneous snapshot the velocity field do not offer exact representation movement under varying conditions. In contrast, pathlines constructed by tracking individual particles within fluid, enabling us trace these as traverse through changing fields. Pathline trajectory that particle follows...

Abstract This paper describes a novel streamline-based rate allocation approach to maximize oil recovery from polymerfloods and its application an ongoing polymerflood in the Mangala field, India which is one of largest world. With over 130 injectors producers, field-scale optimization challenging because long simulation times, operational constraints at well, group field level changing conditions. The FM-1 unit main producing zone comprises multi-layered single storied fluvial channel sands...

Summary The fast marching method (FMM)-based rapid flow simulation has been shown to accelerate efficiency by orders of magnitude transforming 3D equivalent 1D using the concept “diffusive time flight” (DTOF). However, transformation does not directly apply multiwell problems. In this paper, we propose a novel DTOF-based multidomain multiresolution discretization scheme unconventional reservoirs. Our formulates problems based on DTOF which displays pressure front propagation in contours are...

Abstract The streamline based technology has proven to be effective for various subsurface flow and transport modeling problems including reservoir simulation, model calibration optimization. For naturally fractured systems, current models are well suited dual porosity single permeability systems because streamlines need traced only the fracture system. However, complications arise (DPDP) both matrix systems. Also, in two may interact. We present a robust tracing framework use DPDP via an...

Abstract History matching of million-cell reservoir models still remains an outstanding challenge for the industry. This paper presents a hierarchical multi-scale approach to history high resolution dual porosity using combination evolutionary algorithm and streamline method. The efficacy is demonstrated through application pressure temperature (HPHT) fractured gas in Tarim basin, China with wells located at average depth 7500 meters. Our proposed consists two-stages: global local. For...

<p>Based on actual land use in Yancheng city, this paper establishes the ecological security of index system from perspectives economy, society and environment. Using catastrophe theory pressure-state-response (PSR) model, purpose research was to judge degree city 2002 2011 determine requirements ensure sustainable development region. The results showed that over ten years, pressure, state, response synthetic values were evaluated as safe 2003 2007 at middle level for 2004 2006 then...