... Abstract Parent-child well spacing and completion design optimization are critical in maximizing returns while minimizing capital expenditures for any projects to develop unconventional reservoirs. The objective of this paper is to present a comprehensive study on the optimization of child...

... testing modeling & simulation drillstem/well testing geology rock type reservoir geomechanics mudstone scenario configuration urtec unconventional resource technology conference application inter-well interference unconventional reservoir geometry machine learning dtof seg...

... Abstract Various laboratory and modeling activities have been performed to offset the rapid oil production decline in single wells to investigate enhanced oil recovery (EOR) in unconventional reservoirs. Several field pilots have also been conducted to test the EOR effects of different methods...

... the most prominent pores in the rock, causing a shift in the T 2 distribution towards longer times. In unconventional reservoirs, the presence of light oil (elevated gas/oil ratio, GOR) can further enhance this shift due to diffusion-induced relaxation. NMR water saturation can be estimated using...

... Abstract This study aims to leverage deep learning (DL) to forecast oil production dynamics, focusing on the transition from conventional to unconventional reservoirs in the Shengli Oilfield, China. Due to the discrepancy in geological characteristics and development methods, production data...

... assumptions. This study aims to develop reservoir models blending data-driven insights and physics-based constraints, utilizing routine data (rates and pressures) for pressure-aware production forecasting. We propose a novel approach for identifying rate-pressure relationships in unconventional reservoirs...

... Abstract A potential solution to mitigate greenhouse gas emissions during hydrocarbon recovery is to employ cyclic CO 2 injection or ‘huff-n-puff (HnP) in multi-fractured horizontal wells completed in unconventional reservoirs. This serves to simultaneously reduce CO 2 emissions and increase...

... deep learning model fracture geometry forecasting simulation ensemble tight forecast scalability geology complex reservoir artificial intelligence mudstone workflow unconventional reservoir unconventional resource technology conference URTeC: 4042557 Physics Informed Deep Learning Models...

... Abstract The objective of this study is to assess the impact of reservoir and completion parameters on the b-factor, which is a critical parameter in decline curve analysis (DCA) for unconventional reservoirs. The b-factor determines the long-term decline behavior and has the highest...

... production forecasting proceedings seg unconventional resource technology conference rock type lee urtec doi probabilistic eur forecasting tlf mudrock artificial intelligence transition regime transition unconventional reservoir unconventional resource technology conference usa URTeC...

... Abstract Monitoring production in unconventional reservoirs is crucial for assessing change from stimulated rock volume to drained rock volume over time. While reservoir engineering data has traditionally been the cornerstone for such analysis, this study posits that the geochemistry...

... practical insights for future EOR applications with CO2 sequestration options. clastic rock gas injection method modeling & simulation fluid dynamics geology rock type enhanced recovery unconventional reservoir machine learning diffusion equation advection mechanism bakken formation...

... analysis leakoff simulator reservoir proppant fracturing materials economic geology dfit-fba conference clarkson journal complex reservoir petroleum geology geological subdiscipline presented technology conference unconventional reservoir permeability spe hydraulic fracturing technology...

... Abstract When applying machine learning (ML) methods for production prediction in Unconventional Reservoirs (UR), capturing the impact of reservoir pressure depletion from neighboring wells is a challenging task. To address this, our study introduces a dynamic depletion function, DF(t...

... Abstract A study that investigated the possible benefits of including seismic into the drilling and production process of unconventional reservoirs shows that using seismic data will yield an average production increase of 32% per well compared to not using seismic. These findings are focused...

... Abstract This work proposes three new methods to capture near-fracture transient effects that occur during the simulation of unconventional reservoirs. The three methods aim to enhance coarse grid simulation models to accurately capture the production behavior that occurs during the initial...

... or fields, playing an essential role in optimizing resource allocation, enhancing financial planning, and informing strategic decisions. This task becomes particularly complex in unconventional reservoirs, characterized by intricate geologies and heterogeneous formations. These features pose significant...

..., located in the Midland Basin of the Permian Basin, has gained significant attention due to its important oil production (EIA, 2022). Unconventional reservoirs, including formations like Wolfcamp, have been crucial in enhancing oil and gas production in the United States. However, primary recovery from...

...., this novel workflow is applicable to the development of other unconventional reservoirs. geologist dip-slip fault deformation structural geology wellbore design fracture characterization wellbore integrity well logging geological subdiscipline austin chalk hydraulic fracture hydraulic...

... the Estimated Ultimate Recovery (EUR) for two major unconventional reservoirs in the USA, namely Eagle Ford and Bakken. Additionally, this paper aims to discuss the limitations of both methods, such as failing to capture complex temporal patterns and non-linear relationships inherent in unconventional reservoir...