Reservoir
The Norwegian oil company is exiting assets in North Dakota and Montana after a decade of development. A Houston-based private equity producer will take over the shale fields.
Russia’s Gazprom Neft Technologies is partnering with France’s SNF, the world’s largest maker of polyacrylamide, a polymer widely used in Chemical EOR. They aim to develop demand for chemical flooding technologies throughout Siberia.
The US oil giant is launching a new business unit that will boost its ability to reduce its own greenhouse gas emissions along with those of other industries.
-
An openhole advanced formation-evaluation approach is presented that enables assessment of tight-matrix and natural-fracture systems at a level not previously accomplished. -
The authors develop an innovative machine-learning method to determine salt structures directly from gravity data.
-
An appropriate work flow of combining suitable advanced technologies can help to overcome the long-standing challenges of sub-basalt imaging.
-
Most of today’s equipment and interpretation methods are indeed not new. After all, well testing has been around for nearly a century, resulting in a legacy that may not always look cutting-edge, but these tried-and-true tools were so technologically remarkable that they became staples.
-
The paper outlines examples from tight gas reservoirs in two fields in which openhole data was unavailable and petrophysical analysis was undertaken using cased-hole data.
-
The papers explore innovative approaches developed by authors of SPE conference papers toward avoiding data bias, working around the absence of openhole data, and reducing the uncertainty of mass-transport complexes.
-
The work and the provided methodology provide a significant improvement in facies classification.
-
Interface Fluidics carved out a niche for itself in the oilfield testing sector a few years ago with a new alternative to coreflooding. Now, along with Equinor, the Calgary-based company is taking on another industry laboratory stalwart: the slimtube test.
-
The authors introduce and compare two quality-control approaches based on two different signal-processing practices.
-
Innovators at the Norwegian oil company have developed a machine-learning model that analyzes mud-gas data to predict the gas/oil ratio of wells as they are drilled—something that the industry has worked for decades to accomplish.
Page 1 of 68