Reservoir
This study demonstrates how routinely acquired downhole temperature data allows for direct estimation of fluid saturations and delivers more accurate reservoir volume assessments, particularly in aquifer-supported systems.
Sponsored
Effective data analysis depends on seeing connections that matter. Explore how Spotfire enables a more intuitive approach to understanding petroleum data.
The deal adds over 1,000 potential drilling locations and almost doubles oil production for Houston-based Magnolia.
-
Wells are starting to come on stronger than expected, which is putting a new emphasis on orginizing all the other ingredients needed for shale production: more rigs, roads, pipelines, water, and sand. -
While the floating liquefied-natural-gas (FLNG) option initially looked promising, high capital expenditure and very high operational expense (OPEX) have limited its potential application, with four potential FLNG projects being canceled in Australasia in the last 2 years.
-
SponsoredA Midland Basin case study on estimating production, drainage volume, and interference from multiple stacked wells.
-
Total is expanding its development and use of artificial intelligence to bolster its exploration work, collaborating with Google Cloud—which is stepping up its presence in the oil and gas industry.
-
Production from an offshore Angola field has been decreasing because of subsea pressure declines amid water-cut increases and limited gas compressor capacity. The development process leading to the selection of high-boosting multiphase pumps is described.
-
Experimentation reveals that swellable nanogels increase their size faster than expected or produce aggregation leading to serious blocking problems at the sandface. This paper studies if the addition of a surfactant can help improve injectivity.
-
An ensemble-based 4D-seismic history-matching case is presented in the complete paper. Seismic data are reparameterized as distance to a 4D anomaly front and assimilated with production data.
-
In the complete paper, the authors propose a novel method to rapidly update the prediction S-curves given early production data without performing additional simulations or model updates after the data come in.
-
The aim of this work is to present the effectiveness of a fully integrated approach for ensemble-based history matching on a complex real-field application.
