Testing page for app

A reservoir-conditions coreflood study was undertaken to assist with design of drilling and completion fluids for a Norwegian field. Multiple fluids were tested, and the lowest permeability alterations did not correlate with the lowest drilling-fluid-filtrate-loss volumes.

The papers selected for this issue cover advances and opportunities in well testing. They also apply reservoir fundamentals as well as sound engineering judgment, using quantity but also quality data sets from conventional and unconventional assets.

The purpose of the complete paper is to create a performance-based reservoir characterization by use of production data (measured rates and pressures) from a selected gas-condensate region within the Eagle Ford Shale.

The complete paper aims at a better understanding of the effect of channel content in complex fluvial channel systems on well-test-derivative responses.

The complete paper presents different methods of using pressure-transient data from WFTs; many of these methods are summarized here.

The complete paper presents a numerical work flow to simulate the effect of flow-induced fines migration on production decline over time in deepwater reservoirs.

Phrases such as “dawn of the new age of the oil and gas industry,” and “the fourth industrial revolution” echoed through halls of SPE events in 2017 and into the new year, with rapid advancements in big data management, digital connectivity, and high-performance computing.

This paper details the operational effects of closed-loop drilling to demonstrate its ability to yield operational-process-safety improvements and cost savings over conventional methods.

This paper discusses the technical challenges related to implementing a rigsite, real-time drilling advisory system and current solutions to these challenges.

An operator partnered with the drilling-automation research group at The University of Texas at Austin to develop a work flow for big-data analysis and visualization. The objectives were to maximize the value derived from data, establish an analysis toolkit, and train students on data analytics.