Chevron Phillips Chemical Company LP

Phillips Petroleum Company

Other

Chevron Philips Chemical Company, LP

Paul J DesLauriers

Qing R Yang

Max P McDaniel

Eric J Netemeyer

David C Rohlfing

Scott E Kufeld

Joel A Mutchler

Yongwoo Inn

Joseph A Curren

Rebecca A Gonzales

Jamie N Sutherland

Jeffrey S Fodor

Youlu Yu

Ashish M Sukhadia

Elizabeth Ann Benham

Chung Ching Tso

Mark L Hlavinka

Al R Wolfe

Joel L Martin

Richard M Buck

Guylaine St Jean

William B Beaulieu

William R Coutant

Vivek Rohatgi

Lili Cui

Melvin Hildebrand

Eric T Hsieh

Randy S Muninger

Randall S Muninger

Jeff S Fodor

Errun Ding

Steven J Secora

M Bruce Welch

Michael D Jensen

Kathy S Collins

Tony R Crain

Syriac J Palackal

Matthew G Thorn

Alan D Eastman

Jim D Byers

Jerry T Lanier

Kiplin D Cowan

William M Whitte

Jay Janzen

Pamela L Maeger

Mark J Lamborn

Louis Moore, Jr

Brooke L Small

Bruce E Kreischer

Ronald D Knudsen

Albert P Masino

Christopher E Wittner

Rajendra K Krishnaswamy

Elizabeth Mary Lanier

Mark E Lashier

J Todd Lanier

Mark E Kertok

Matthew F Milner

Jerry Stark

R Kim Perry

Jon D Ratzlaff

David F Register

Kumudini Jayarante

Pamela L Meager

Qing Yang

Vivek Rohati

Apparatuses and processes that produce multimodal polyolefins, and in particular, polyethylene resins, are disclosed herein. This is accomplished by using two reactors in series, where one of the reactors is a multi-zone circulating reactor that can circulate polyolefin particles through two polymerization zones optionally having two different flow regimes so that the final multimodal polyolefin has improved product properties and improved product homogeneity.

Multiple reactor and multiple zone polyolefin polymerization

Methods of controlling olefin polymerization reactor systems may include a) selecting n input variables, each input variable corresponding to a process condition for an olefin polymerization process; b) identifying m response variables corresponding to a measurable polymer property; c) adjusting one of more of the n input variables using the olefin polymerization reactor system and measuring each of the m response variables as a function of the input variables for olefin polymers; d) analyzing the change in each of the response variables as a function of the input variables to determine coefficients; e) calculating a Response Surface Model (RSM) for each response variable determined in step d); f) applying n selected input variables to the calculated RSM to predict one or more of m target response variables; and g) using the n selected input variables to operate the olefin polymerization reactor system and provide a polyolefin product.

Polyolefin process monitoring and control

A method of determining multimodal polyethylene quality comprising the steps of (a) providing a multimodal polyethylene resin sample; (b) determining, in any sequence, the following: that the multimodal polyethylene resin sample has a melt index within 30% of a target melt index; that the multimodal polyethylene resin sample has a density within 2.5% of a target density; that the multimodal polyethylene resin sample has a dynamic viscosity deviation (% MVD) from a target dynamic viscosity of less than about 100%; that the multimodal polyethylene resin sample has a weight average molecular weight (M) deviation (% MD) from a target Mof less than about 20%; and that the multimodal polyethylene resin sample has a gel permeation chromatography (GPC) curve profile deviation (% GPCD) from a target GPC curve profile of less than about 15%; and (c) responsive to step (b), designating the multimodal polyethylene resin sample as a high quality resin.

Advanced quality control tools for manufacturing bimodal and multimodal polyethylene resins

Methods of controlling olefin polymerization reactor systems are provided herein. In some aspects, the methods include a) selecting n input variables, each input variable corresponding to a process condition for an olefin polymerization process; b) identifying m response variables, each response variable corresponding to a measurable polymer property; c) adjusting one of more of the n input variables in a plurality of polymerization reactions using the olefin polymerization reactor system, to provide a plurality of olefin polymers and measuring each of the m response variables as a function of the input variables for each olefin polymer; d) analyzing the change in each of the response variables as a function of the input variables to determine the coefficients; e) calculating a Response Surface Model (RSM) using general equations for each response variable determined in step d) to correlate any combination of the n input variables with one or more of m response variables; f) applying n selected input variables to the calculated Response Surface Model (RSM) to predict one or more of m target response variables, each target response variable corresponding to a measurable polymer property; and g) using the n selected input variables Ito Ito operate the olefin polymerization reactor system and provide a polyolefin product.

Disclosed herein are ethylene homopolymers generally characterized by a density of less than 0.94 g/cmand an inverse short chain branch distribution. These homopolymers can be further characterized by a ratio of Mw/Mn from 2 to 100, a number of short chain branches from 2 to 20 short chain branches per 1000 total carbon atoms, and wherein at least 50% of the short chain branches are methyl branches.

Ethylene homopolymers with a reverse short chain branch distribution

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Owasso, OK, United States of America

Paul J DesLauriers