Larry Lake Research Projects

A Comprehensive Statistically-Based Method to Interpret Real-Time Flowing Well Measurements

A. Daniel Hill (with Texas A&M), Larry W. Lake, Ding Zhu (with Texas A&M)

Funding amount: $870,000 for the period of Sept. 2003 - Aug. 2006

To produce more oil from more complex and harder-to-reach reservoirs, the nation's producers have begun to employ a variety of sophisticated new drilling approaches - such as wells that extend horizontally through an oil-bearing reservoir, or that radiate out from a central borehole, or that branch in multiple directions.

Analysis of Production and Injection Rate Data for Diagnosing Interwell Connectivity

Larry W. Lake

The exploration and production industry has had a long history of purely statistical models, though this practice has almost entirely given way to the algorithmic models now referred to as numerical simulators. On the other end of the spectrum the ultimate simplification will be a simple model that does empirically quantifies the flow physics in the form of simple to evaluate statistical correlation(s).

Characterization of Functionalized Nanoparticle Transport in Flow Through Permeable Media

Quoc P. Nguyen, Larry W. Lake, and Caetano R. Miranda (Kyoto University)

Funding source: Advanced Energy Consortium (AEC)

Funding amount: $592,000 for the period of March 2009 - Sept. 2012

Nanoparticles offer a way of controlling oil recovery processes that is unmatched by any current or previous technology. They also offer a means of interrogating small-scale physics that is also unparalleled by prior work.

Development of a New Marsh Funnel Rheometer for non-Newtonian Oil-Field Fluids

Matt Balhoff, Larry Lake, Paul Bommer

Techniques for measurement of fluid rheological properties are important for field operations in the oil industry, but existing methods are relatively expensive and the results can be subjective. Marsh Funnels are popular quality-control tools used in the field. In the normal measurements, a single point is used to determine an average viscosity.

Development of a two-phase flow coupled capacitance resistance model

Graduate Student: Fei Cao
Faculty Supervisor: Larry W. Lake

The Capacitance Resistance Model (CRM) is a reservoir model based on a data-driven approach. It stems from the continuity equation and takes advantage of the usually abundant rate data to achieve a synergy of analytical model and data-driven approach. Minimal information (rates and bottom-hole pressure) is required to inexpensively characterize the reservoir.

Free-Product Recovery Using Skimmer and Dual-Pump Wells

Russell T. Johns, Larry W. Lake

Accidental release of petroleum hydrocarbons to the subsurface may occur through spills around refineries, leaking pipelines, storage tanks or other sources. If the spill is large, the hydrocarbon liquids may eventually reach a water table and spread laterally in a pancake-like lens. Hydrocarbons in the aquifer that exist as a separate phase are termed free product or light nonaqueous phase liquids (LNAPL).

Interwell Connectivity and Diagnosis Using Correlation of Production and Injection Rate Data in Hydrocarbon Reservoirs

Jerry Jensen (Texas A&M University), Larry W. Lake (

Funding amount: $179,000 for the period of Sept. 2003 - Aug. 2006

This work aims to develop a new approach to evaluating the flow paths between injection and production wells. The procedure will use injection and production rates and target three different production scenarios: fields with wells shut in for extended periods; fields with non-uniform compressibility; and very heterogeneous reservoirs.