METHOD FOR DETERMINING WELL PRODUCTIVITY USING AUTOMATIC DOWNTIME DATA

Patent №

US 5,871,047

Granted

1999-02-16

Filed 1997

Owner

SCHLUMBERGER TECHNOLOGY CORPORATION

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08909558

A method is presented to estimate the productivity index, PI, and the well condition, s, of a pumping well utilizing the knowledge of pump runtime versus downtime. Runtime and downtime may be constantly and automatically recorded and transmitted to a central location. A model runtime is computed assuming the two unknowns, PI and s. The model is then compared with the actual runtime data. A nonlinear optimization technique is used to search for the unknown parameters such that the differences between the measured data and the numerically simulated data are minimized in a least-squares fashion. The proposed estimation procedure is an economical and accurate method for monitoring the behavior of a well resevoir system during runtime.

AI classification

Planning1.00
Machine learning0.60
Knowledge representation0.14
Vision0.06
AI hardware0.00
Evolutionary computation0.00
Natural language0.00
Speech0.00

Ownership

SCHLUMBERGER TECHNOLOGY CORPORATION

assignment · 87490733

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